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Artificial intelligence in pancreatic disease detection and diagnosis, and personalized incremental learning in medicinefirst International Workshop, AIPAD 2024 and first International Workshop, PILM 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in pancreatic disease detection and diagnosis, and personalized incremental learning in medicineedited by Federica Proietto Salanitri ... [et al.].
其他題名:	first International Workshop, AIPAD 2024 and first International Workshop, PILM 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
其他題名:	AIPAD 2024
其他作者:	Proietto Salanitri, Federica.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xii, 104 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	PancreasCase studies.Diseases
電子資源:	https://doi.org/10.1007/978-3-031-73483-0
ISBN:	9783031734830$q(electronic bk.)

Artificial intelligence in pancreatic disease detection and diagnosis, and personalized incremental learning in medicinefirst International Workshop, AIPAD 2024 and first International Workshop, PILM 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
Artificial intelligence in pancreatic disease detection and diagnosis, and personalized incremental learning in medicinefirst International Workshop, AIPAD 2024 and first International Workshop, PILM 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /[electronic resource] :AIPAD 2024edited by Federica Proietto Salanitri ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xii, 104 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,151971611-3349 ;. - Lecture notes in computer science ;4891..

Artificial Intelligence in Pancreatic Disease Detection and Diagnosis -- Assessing the Efficacy of Foundation Models in Pancreas Segmentation -- Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation -- Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation -- Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation -- Pancreatic Vessel Landmark Detection in CT Angiography using Prior Anatomical Knowledge -- Personalized Incremental Learning in Medicine -- Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion -- Distribution-Aware Replay for Continual MRI Segmentation -- Exploring Wearable Emotion Recognition with Transformer-Based Continual Learning.

This volume constitutes the refereed proceedings of the First International Workshop on Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, AIPAD 2024 and the First International Workshop on Personalized Incremental Learning in Medicine, PILM 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 8 full papers included in these proceedings were carefully reviewed and selected from 9 submissions. They were organized in topical sections as follows: artificial intelligence in pancreatic disease detection and diagnosis; and personalized incremental learning in medicine.

ISBN: 9783031734830$q(electronic bk.)

Standard No.: 10.1007/978-3-031-73483-0doiSubjects--Topical Terms:

785816
Pancreas
--Diseases--Case studies.

LC Class. No.: RC857.5

Dewey Class. No.: 616.370754

Artificial intelligence in pancreatic disease detection and diagnosis, and personalized incremental learning in medicinefirst International Workshop, AIPAD 2024 and first International Workshop, PILM 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
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