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Thyroid Cytopathology, Second Edition, in the Essentials in Cytopathology Series, provides an overview to the examination and diagnosis of thyroid cytology specimens. Each concise desktop reference in the Essentials in Cytopathology Series is designed as an easy-to-use and authoritative synopsis of site-specific topics in cytopathology. Thyroid Cytopathology uses a simple algorithmic approach to the diagnosis of thyroid fine needle aspirations (FNA). This user-friendly, reference begins with an introduction to clinical aspects, a guide to performing and processing thyroid FNAs, and an overview to the algorithmic approach to thyroid FNA cytopathology. Organized in 11 easy-to-read chapters, this volume discusses the background, diagnostic approaches and criteria, differential diagnoses, and clinical management of inflammatory, colloid, follicular, Hurthle cell and cystic lesions, as well as, papillary, medullary and undifferentiated carcinomas. With 116 full-color images, 12 tables and a series of algorithms, Thyroid Cytopathology is the ideal quick reference guide covering the essentials of thyroid FNA. It is a must-have for every pathologist, cytopathologist, cytotechnologist, fellow and trainee.

Cytopathology. --- Thyroid gland -- Cytopathology. --- Thyroid gland. --- Biopsy, Needle --- Endocrine Glands --- Thyroid Neoplasms --- Endocrine Gland Neoplasms --- Head and Neck Neoplasms --- Thyroid Diseases --- Biopsy --- Endocrine System --- Biopsy, Fine-Needle --- Thyroid Nodule --- Thyroid Gland --- Endocrine System Diseases --- Anatomy --- Neoplasms by Site --- Specimen Handling --- Surgical Procedures, Operative --- Diagnostic Techniques, Surgical --- Cytodiagnosis --- Laboratory Techniques and Procedures --- Diseases --- Neoplasms --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Diagnostic Techniques and Procedures --- Diagnosis --- Medicine --- Health & Biological Sciences --- Pathology --- Thyroid gland --- Medicine. --- Endocrinology. --- Pathology. --- Medicine & Public Health. --- Endocrine glands --- Hypothalamic-pituitary-thyroid axis --- Internal medicine --- Hormones --- Disease (Pathology) --- Medical sciences --- Medicine, Preventive --- Endocrinology .

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Thyroid nodular disease is one of the most frequent endocrine diseases. The prevalence of thyroid focal lesions detected by imaging techniques, according to studies on different populations, ranges from 10 to 70%. In a population of women over 50 years of age, approximately half of them will have a thyroid focal lesion. However, only 18% of thyroid nodules are diagnosed as malignant. Thyroid nodular disease is the most frequently diagnosed endocrine pathology, while thyroid cancer constitues the most common endocrine malignancy and is reponsible for about 67% of deaths due to neoplasms derived from endocrine organs. The incidence of thyroid cancer has risen by about 240% in the last three decades. Due to the increased availability of imaging techniques, recently, a rise in the detectability of thyroid cancer at the stage of microcarcinoma has been observed. Diagnostic and therapeutic decisions in patients with thyroid nodules require an interdisciplinary consensus between endocrinologists and physicians of other specialities (radiologists, pathologists, surgeons, oncologists). This book focuses on current trends in novel techniques of thyroid nodule diagnostics before they are implemented in the current guidelines on the management of thyroid nodular disease.

thyroid nodule --- care pathway --- guidelines --- fine-needle aspiration cytology --- thyroid cancer --- COLD-PCR --- digital PCR --- BRAFV600E --- papillary thyroid cancer --- liquid biopsy --- thyroid nodules --- ultrasound --- computer-aided diagnosis --- S-Detect --- EU-TIRADS --- PTC --- thyroid --- metastasis --- Snail-1 --- primary hyperparathyroidism --- parathyroidectomy --- remedial surgery --- ectopic mediastinal localization --- persistent hypercalcemia --- ectopic thymus --- shear wave sonoelastography --- strain elastography --- metastatic lymph nodes --- shear wave elastography --- interobserver variability --- tissue aspirate parathyroid hormone assay --- recurrent renal hyperparathyroidism --- persistent renal hyperparathyroidism --- parathyroid sonography --- parathyroid scintigraphy --- thyroid surgery --- vocal cord dysfunction --- vocal cord palsy --- loss of signal --- complications --- parathyroid adenoma --- hyperparathyroidism --- PET-CT --- FEC --- FCH --- n/a --- postsurgical hypoparathyroidism --- risk-factor analysis --- time course

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Thyroid nodular disease is one of the most frequent endocrine diseases. The prevalence of thyroid focal lesions detected by imaging techniques, according to studies on different populations, ranges from 10 to 70%. In a population of women over 50 years of age, approximately half of them will have a thyroid focal lesion. However, only 18% of thyroid nodules are diagnosed as malignant. Thyroid nodular disease is the most frequently diagnosed endocrine pathology, while thyroid cancer constitues the most common endocrine malignancy and is reponsible for about 67% of deaths due to neoplasms derived from endocrine organs. The incidence of thyroid cancer has risen by about 240% in the last three decades. Due to the increased availability of imaging techniques, recently, a rise in the detectability of thyroid cancer at the stage of microcarcinoma has been observed. Diagnostic and therapeutic decisions in patients with thyroid nodules require an interdisciplinary consensus between endocrinologists and physicians of other specialities (radiologists, pathologists, surgeons, oncologists). This book focuses on current trends in novel techniques of thyroid nodule diagnostics before they are implemented in the current guidelines on the management of thyroid nodular disease.

Medicine --- thyroid nodule --- care pathway --- guidelines --- fine-needle aspiration cytology --- thyroid cancer --- COLD-PCR --- digital PCR --- BRAFV600E --- papillary thyroid cancer --- liquid biopsy --- thyroid nodules --- ultrasound --- computer-aided diagnosis --- S-Detect --- EU-TIRADS --- PTC --- thyroid --- metastasis --- Snail-1 --- primary hyperparathyroidism --- parathyroidectomy --- remedial surgery --- ectopic mediastinal localization --- persistent hypercalcemia --- ectopic thymus --- shear wave sonoelastography --- strain elastography --- metastatic lymph nodes --- shear wave elastography --- interobserver variability --- tissue aspirate parathyroid hormone assay --- recurrent renal hyperparathyroidism --- persistent renal hyperparathyroidism --- parathyroid sonography --- parathyroid scintigraphy --- thyroid surgery --- vocal cord dysfunction --- vocal cord palsy --- loss of signal --- complications --- parathyroid adenoma --- hyperparathyroidism --- PET-CT --- FEC --- FCH --- postsurgical hypoparathyroidism --- risk-factor analysis --- time course --- thyroid nodule --- care pathway --- guidelines --- fine-needle aspiration cytology --- thyroid cancer --- COLD-PCR --- digital PCR --- BRAFV600E --- papillary thyroid cancer --- liquid biopsy --- thyroid nodules --- ultrasound --- computer-aided diagnosis --- S-Detect --- EU-TIRADS --- PTC --- thyroid --- metastasis --- Snail-1 --- primary hyperparathyroidism --- parathyroidectomy --- remedial surgery --- ectopic mediastinal localization --- persistent hypercalcemia --- ectopic thymus --- shear wave sonoelastography --- strain elastography --- metastatic lymph nodes --- shear wave elastography --- interobserver variability --- tissue aspirate parathyroid hormone assay --- recurrent renal hyperparathyroidism --- persistent renal hyperparathyroidism --- parathyroid sonography --- parathyroid scintigraphy --- thyroid surgery --- vocal cord dysfunction --- vocal cord palsy --- loss of signal --- complications --- parathyroid adenoma --- hyperparathyroidism --- PET-CT --- FEC --- FCH --- postsurgical hypoparathyroidism --- risk-factor analysis --- time course

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Since the 1990s, ultrasound (US) has played a major role in the assessment of thyroid nodules and their risk of malignancy. Over the last decade, the most eminent international societies have published US-based systems for the risk stratification of thyroid lesions, namely, Thyroid Imaging Reporting And Data Systems (TIRADSs). The introduction of TIRADSs into clinical practice has significantly increased the diagnostic power of US to a level approaching that of fine-needle aspiration cytology (FNAC). At present, we are probably approaching a new era in which US could be the primary tool to diagnose thyroid cancer. However, before using US in this new dominant role, we need further proof. This Special Issue, which includes reviews and original articles, aims to pave the way for the future in the field of thyroid US. Highly experienced thyroidologists focused on US are asked to contribute to achieve this goal.

n/a --- thyroid --- ultrasonography --- follicular neoplasm --- follicular lesion of unknown significance --- follicular thyroid cancer --- papillary thyroid carcinoma --- neoplasm metastasis --- biopsy --- fine-needle --- thyroglobulin --- US-guided minimally invasive techniques --- radiofrequency ablation --- RFA --- benign thyroid nodules --- thyroid cancer --- DTC recurrences --- PTMC --- long term --- follow-up --- regrowth --- classification system --- ultrasound classification system --- TIRAD --- nodule --- risk stratification --- TI-RADS --- fine-needle aspiration --- cancer --- ultrasound --- scintigraphy --- non-autonomously functioning --- thyroid imaging reporting and data systems (TIRADS) --- risk of malignancy (ROM) --- thyroid nodules --- paediatrics --- radiotherapy --- risk assessment --- DTC --- thyroid neoplasm --- medical imaging --- artificial intelligence --- machine learning --- deep learning --- radiomics --- prediction --- diagnosis --- Thyroid Imaging Reporting and Data Systems (TIRADS) --- pediatric thyroid nodules --- neck ultrasound --- contrast-enhanced ultrasound (CEUS) --- papillary thyroid cancer --- TIRADS --- thyroid nodule --- fine-needle aspiration biopsy --- elastosonography

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This book includes 23 published papers on Special issues of "Image and Video Processing and Recognition Based on Artificial Intelligence" in the journal Sensors. The purpose of this Special Issue was to invite high-quality and state-of-the-art academic papers on challenging issues in the field of AI-based image and video processing and recognition.

Technology: general issues --- emotion recognition --- brain computer interface --- bag of deep features --- continuous wavelet transform --- face image analysis --- deep learning --- face parsing --- facial attributes classification --- building extraction --- convolutional neural networks --- mask R-CNN --- high-resolution remote sensing image --- autoencoders --- semi-supervised learning --- computer vision --- pathology --- epidermis --- skin --- image processing --- generative models --- generative adversarial net --- depth map --- super-resolution --- guidance --- residual network --- channel interaction --- pose estimation --- body orientation --- multi-person --- multi-task --- surface defect detection --- active learning --- generative adversarial network --- presentation attack detection --- artificial image generation --- presentation attack face images --- ultrasound image --- malignant thyroid nodule --- artificial intelligence --- weighted binary cross-entropy loss --- infrared circumferential scanning system --- target recognition --- deep convolutional neural networks --- data augmentation --- transfer learning --- bounding box regression --- loss function --- medical image fusion --- convolutional neural network --- image pyramid --- multi-scale decomposition --- armature --- surface inspection --- action recognition --- social robotics --- common spatial patterns --- vehicle recognition --- multi resolution network --- optimization --- semantic segmentation --- global context --- local context --- fully convolutional networks --- image-to-image conversion --- image de-raining --- label to photos --- edges to photos --- generative adversarial network (GAN) --- remote sensing --- helicopter footage --- crowd counting --- multitask learning --- normalized cross-correlation --- Marr wavelets --- entropy and response --- graph matching --- RANSAC --- GC–LSTM model --- typhoon --- satellite image --- prediction system --- monocular depth estimation --- feature distillation --- joint attention --- finger-vein recognition --- camera position --- finger position --- lighting --- unobserved database --- heterogeneous database --- domain adaptation --- cycle-consistent adversarial networks --- SDUMLA-HMT-DB --- HKPolyU-DB --- biometrics --- face recognition --- single-sample face recognition --- binarized statistical image features --- K-nearest neighbors --- sparse coding --- fast approximation --- homotopy iterative hard thresholding --- object recognition --- character recognition --- orthogonal polynomials --- orthogonal moments --- Krawtchouk polynomials --- Tchebichef polynomials --- support vector machine --- emotion recognition --- brain computer interface --- bag of deep features --- continuous wavelet transform --- face image analysis --- deep learning --- face parsing --- facial attributes classification --- building extraction --- convolutional neural networks --- mask R-CNN --- high-resolution remote sensing image --- autoencoders --- semi-supervised learning --- computer vision --- pathology --- epidermis --- skin --- image processing --- generative models --- generative adversarial net --- depth map --- super-resolution --- guidance --- residual network --- channel interaction --- pose estimation --- body orientation --- multi-person --- multi-task --- surface defect detection --- active learning --- generative adversarial network --- presentation attack detection --- artificial image generation --- presentation attack face images --- ultrasound image --- malignant thyroid nodule --- artificial intelligence --- weighted binary cross-entropy loss --- infrared circumferential scanning system --- target recognition --- deep convolutional neural networks --- data augmentation --- transfer learning --- bounding box regression --- loss function --- medical image fusion --- convolutional neural network --- image pyramid --- multi-scale decomposition --- armature --- surface inspection --- action recognition --- social robotics --- common spatial patterns --- vehicle recognition --- multi resolution network --- optimization --- semantic segmentation --- global context --- local context --- fully convolutional networks --- image-to-image conversion --- image de-raining --- label to photos --- edges to photos --- generative adversarial network (GAN) --- remote sensing --- helicopter footage --- crowd counting --- multitask learning --- normalized cross-correlation --- Marr wavelets --- entropy and response --- graph matching --- RANSAC --- GC–LSTM model --- typhoon --- satellite image --- prediction system --- monocular depth estimation --- feature distillation --- joint attention --- finger-vein recognition --- camera position --- finger position --- lighting --- unobserved database --- heterogeneous database --- domain adaptation --- cycle-consistent adversarial networks --- SDUMLA-HMT-DB --- HKPolyU-DB --- biometrics --- face recognition --- single-sample face recognition --- binarized statistical image features --- K-nearest neighbors --- sparse coding --- fast approximation --- homotopy iterative hard thresholding --- object recognition --- character recognition --- orthogonal polynomials --- orthogonal moments --- Krawtchouk polynomials --- Tchebichef polynomials --- support vector machine