论文笔记《A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification》

时间 2021-07-12

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这是博主自己读论文的笔记哦，原文请在A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification下载~ 解决的问题：皮肤病灶的分类与分割模型设计的动机分类与分割是两个高度相关的任务，但是当前的研究往往只涉及到其中一个任务分割可以帮助消除图像中的干扰，提高分类准确性特定类别的诊断

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1. A MULTI-TASK FRAMEWORK WITH FEATURE PASSING MODULE FOR SKIN LESION CLASSIFICATION AND SEGMENTATION
2. 读书笔记-多任务学习-A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification
3. 论文笔记：A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
4. Adversarial learning with multi-scale loss for skin lesion segmentation
5. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 论文笔记
6. 论文：Automated Vehicle Detection and Classification: Models, Methods, and Techniques翻译（五）
7. 论文笔记：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
8. 【论文笔记】——FEATURE FUSION ENCODER DECODER NETWORK FOR AUTOMATIC LIVER LESION SEGMENTATION
9. 论文笔记《Automated melanoma recognition in dermoscopy images via very deep residual networks》
10. 论文笔记-DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

>>更多相关文章<<