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Feb, 2024
脑肿瘤分割的处理和迁移学习的优化框架
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
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Tianyi Ren, Ethan Honey, Harshitha Rebala, Abhishek Sharma, Agamdeep Chopra...
TL;DR
基于3D U-Net模型的多模态脑肿瘤分割框架在验证数据集上实现了Challenges 1、2和3分别为0.79、0.72、0.74的平均病灶Dice分数。
Abstract
tumor segmentation
from
multi-modal brain mri images
is a challenging task due to the limited samples, high variance in shapes and uneven distribution of tumor morphology. The performance of automated medical ima
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