Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings.

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Suzuki, Kenji (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Reyes, Mauricio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Syeda-Mahmood, Tanveer (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Glocker, Ben (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wiest, Roland (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gur, Yaniv (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Greenspan, Hayit (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Madabhushi, Anant (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11797
• Θέματα: Artificial intelligence.; Mathematical logic.; Health informatics.; Optical data processing.; Artificial Intelligence.; Mathematical Logic and Formal Languages.; Health Informatics.; Image Processing and Computer Vision.

This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction wit...

Πίνακας περιεχομένων:

• Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019)
• Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification
• UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics
• Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
• Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
• Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules
• Deep neural network or dermatologist?
• Towards Interpretability of Segmentation Networks by analyzing DeepDreams
• 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019)
• Towards Automatic Diagnosis from Multi-modal Medical Data
• Deep Learning based Multi-Modal Registration for Retinal Imaging
• Automated Enriched Medical Concept Generation for Chest X-ray Images.