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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…
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Thank you very much for your excellent work, I am really impressed. I see that your model input is a format of nii.gz, which is a slice of 3D images. Why doesn't it require traditional NeRF or 3DGs's …
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Hi,
I'm facing some issues when i tried running the benchmark for 3d-unet.
When i ran
**make run RUN_ARGS="--benchmarks=3d-unet --scenarios=offline,server""**
Got the errors, which is also the …
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Hello! Thanks for the nice work,
I am interested in learning more about the fine-tuning process you employed in your project, specifically for the medical imaging domain (CT scans). Could you provide…
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### Version
1
### DataCap Applicant
NLM Public dataset
### Project ID
1
### Data Owner Name
National Library of Medicine
### Data Owner Country/Region
United States
### Data Owner Industry
…
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**User story**
ParaGlyder: Probe-driven Interactive Visual Analysis for Multiparametric Medical Imaging Data
https://link.springer.com/chapter/10.1007/978-3-030-61864-3_29
**Preferred solutio…
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Problem Description
The goal is to develop a robust model for classifying various eye diseases using Recurrent Neural Networks (RNN). Early and accurate detection of eye diseases is crucial for eff…
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### Problem
Python is commonly used to display medical images in research projects. The colormaps commonly used by clinicians in their own clinical software are not available in matplotlib.
### Prop…
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Hello Xintao,
I am working on some project related to medical imaging registration and denoising. Do you think it is feasible to use ESRGAN to do both registration and denoising in one training?
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This type of augmentation is mostly sued in 2D and 3D image augmentation, especially in medical imaging.
- [Source](https://albumentations.ai/docs/api_reference/augmentations/geometric/transform…
innat updated
1 month ago