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Artificial intelligence in pancreatic disease detection and diagnosis, and personalized incremental learning in medicine : first international workshop, AIPAD 2024 and first international workshop, PILM 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, proceedings / Federica Proietto Salanitri, Serestina Viriri, Ulaş Bağcı, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Filntisis, Cecilia S. Lee, Aaron Y. Lee, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 15197.Publisher: Cham : Springer, [2025]Copyright date: ©2025Description: 1 online resource (xii, 104 pages) : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031734830
  • 3031734831
Other title:
  • AIPAD 2024
  • PILM 2024
Subject(s): Genre/Form: DDC classification:
  • 616.3/70754 23/eng/20241008
LOC classification:
  • RC857.5
Online resources:
Contents:
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.
Summary: 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.
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International conference proceedings.

Includes author index.

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.

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.

Online resource; title from PDF title page (SpringerLink, viewed October 8, 2024).

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