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Reviewed Medical Image Datasets:
1. NIH Clinical Center:
Chest X-Ray Dataset (ChestX-ray8): Contains over 100,000 frontal-view X-ray images of 30,805 unique patients with 14
disease labels…
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Dear Michele,
I am a postdoc working at the University College of London in collaboration with the NHS and King's College. We are looking for a way to generate a dataset of 3D fractal images to use…
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A new addon for an medical imaging viewer shall be added.
The viewer addon shall support:
- basic 2D viewing with standard tools
- 3D/4D viewing with specific tools
- measurements handling
- segm…
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Hello,
Thank you for your work. I have a few questions regarding its applicability to the medical domain.
Currently, your evaluation dataset primarily focuses on 3D depth scenes. I attempted to …
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- https://github.com/deeponcology/applied-dl-2018
- https://towardsdatascience.com/deep-learning-and-medical-image-analysis-for-malaria-detection-with-fastai-c8f08560262f
- https://www.kaggle.com/sa…
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I propose adding a Semantic Segmentation Module utilizing the U-Net architecture. This feature will enable pixel-wise segmentation, enhancing our repository's capabilities for applications in various …
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Add docments to [60_medical.imaging](https://github.com/muellerzr/fastai-docment-sprint/blob/master/nbs/60_medical.imaging.ipynb).
See the style guide and contribution guide for more details (links…
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https://www.prnewswire.com/news-releases/console--associates-pc-east-river-medical-imaging-reports-data-breach-exposing-social-security-numbers-and-other-sensitive-information-of-605k-patients-and-emp…
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## タイトル: 動的メモリ融合フレームワークを用いた適応型リアルタイム多重損失関数最適化：乳がんセグメンテーションのケーススタディ
## リンク: https://arxiv.org/abs/2410.19745
## 概要:
深層学習は、多様なアプリケーションにおいて非常に効果的なツールであることが証明されており、特に複数損失関数の能力を活用して複数の基準で同時にパフォーマンスを最適化…