Unfolding Explainable AI for Brain Tumor Segmentation

Author:

Hassan MuhammadORCID,Fateh Ahmed Ameen,Lin Jieqiong,Zhuang Yijiang,Lin Guisen,Xiong Hairui,You Zhou,Qin Peiwu,Zeng Hongwu

Funder

Science and Technology Planning Project of Shenzhen Municipality

Publisher

Elsevier BV

Reference226 articles.

1. Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features;Wu;Int. J. Comput. Assist. Radiol. Surg.,2014

2. Swin unetr: Swin transformers for semantic segmentation of brain tumors in MRI images;Hatamizadeh,2021

3. Efficient detection of glaucoma using double tier deep convolutional neural network;Babu;Pers. Ubiquitous Comput.,2022

4. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study;Kickingereder;Lancet Oncol.,2019

5. Clinical evaluation of a fully-automatic segmentation method for longitudinal brain tumor volumetry;Meier;Sci. Rep.,2016

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