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Mitosis Domain Generalization and Diabetic Retinopathy Analysis MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings /

This book constitutes two challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore during September 18-22, 2022. The peer-reviewed 20 long and 5 short papers included in t...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros autores: Sheng, Bin (Editor), Aubreville, Marc (Editor)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edición:1st ed. 2023.
Series:Lecture Notes in Computer Science, 13597
Subjects:
Image processing > Digital techniques.
Computer vision.
Computers.
Application software.
Machine learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computing Milieux.
Computer and Information Systems Applications.
Machine Learning.
Acceso en liña:https://doi.org/10.1007/978-3-031-33658-4
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Table of Contents:
  • Preface DRAC 2022
  • nnU-Net Pre- and Postprocessing Strategies for UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis
  • Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias
  • Bag of Tricks for Diabetic Retinopathy Grading of Ultra-wide Optical Coherence Tomography Angiography Images
  • Deep convolutional neural network for image quality assessment and diabetic retinopathy grading
  • Diabetic Retinal Overlap Lesion Segmentation Network
  • An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images
  • Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity
  • Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
  • Deep Learning-based Multi-tasking System for Diabetic Retinopathy in UW-OCTA images
  • Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment
  • ImageQuality Assessment based on Multi-Model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images
  • An improved U-Net for diabetic retinopathy segmentation
  • A Vision transformer based deep learning architecture for automatic diagnosis of diabetic retinopathy in optical coherence tomography angiography
  • Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy
  • Data Augmentation by Fourier Transformation for Class-Imbalance : Application to Medical Image Quality Assessment
  • Automatic image quality assessment and DR grading method based on convolutional neural network
  • A transfer learning based model ensemble method for image quality assessment and diabetic retinopathy grading
  • Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA Images using Transfer Learning
  • Preface MIDOG 2022
  • Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
  • Radial Prediction Domain Adaption Classifier for the MIDOG 2022 challenge
  • Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge
  • Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization
  • "A Deep Learning based Ensemble Model for Generalized Mitosis Detection in H&E stained Whole Slide Images"
  • Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset
  • Multi-task RetinaNet for mitosis detection. .

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