Weakly-supervised segmentation using inherently-explainable
classification models and their application to brain tumour classification

Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification

10 June 2022

Florian Dubost

Papers citing "Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification"

5 / 5 papers shown

Title
Weakly Supervised Pixel-Level Annotation with Visual Interpretability Basma Nasir Tehseen Zia Muhammad Nawaz Catarina Moreira FAtt 84 0 0 25 Feb 2025
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network F. Pernas M. Martínez-Zarzuela M. Antón-Rodríguez D. G. Ortega 38 343 0 04 Feb 2024
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring Florent Forest Hugo Porta D. Tuia Olga Fink 19 7 0 20 Sep 2023
Additive Class Distinction Maps using Branched-GANs Elnatan Kadar Jonathan Brokman Guy Gilboa GAN 23 0 0 04 May 2023
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016