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This book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022, in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 in Singapore. The 8 full papers presented together with 5 challenge papers and 3 post-challenge papers included in this book were carefully reviewed and selected from 19 submissions. The DFU challenges aim to motivate the health care domain to share datasets, participate in ground truth annotation, and enable data-innovation in computer algorithm development. In the longer term, it will lead to improved patient care.

Computer vision. --- Image processing. --- Machine learning. --- Social sciences—Data processing. --- Education—Data processing. --- Software engineering. --- Computer Vision. --- Image Processing. --- Machine Learning. --- Computer Application in Social and Behavioral Sciences. --- Computers and Education. --- Software Engineering. --- Computer software engineering --- Engineering --- Learning, Machine --- Artificial intelligence --- Machine theory --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Diabetes --- Complications --- Brittle diabetes --- Diabetes mellitus --- IDDM (Disease) --- Insulin-dependent diabetes --- Ketosis prone diabetes --- Type 1 diabetes --- Carbohydrate intolerance --- Endocrine glands --- Diabetic acidosis --- Glycosylated hemoglobin --- Diseases

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It is our great pleasure to welcome you to the 2021 ACM Multimedia - FME 2021. This year's workshop continues its tradition of being the premier activity for presenting research results and experience reports on facial micro-expression analysis. This workshop concerns interpreting and synthesizing interactive emotional behaviors, addressing the theme of engaging/connecting people with multimedia. Furthermore, the workshop addresses emotion understanding and FER with extended preference/emphasis on the multi-modality approach. In addition to this workshop, we also organized a Facial Micro-Expression (FME) Challenge under the track of ACM MM '21 Multimedia Grand Challenges. The FME challenge focus on two tasks, including ME generation, and MaE and ME spotting from long videos. FME'21 gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of facial expression and especially micro-expression analysis.

Facial expression.