Paper review3

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  [Research review] U-Net: Convolutional networks for Biomedical Image Segmentation ✅ This article is a compilation of research reviews for study purposes. It was not written for commercial purposes. If there are any issues, it will be deleted. ✅ It's written in Korean, so if you need it, click the translate button and read it.논문 소개지난 포스팅([Research review] - Learning Deconvolution Network for Segmentation (국문)]에서 살펴본 DeconvNet은 VGG 기반 인코더-디코더 구조와 unpooling + deconvolution을 이용하여.. Paper review 2025. 11. 24.

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  [Research review] - Learning Deconvolution Network for Segmentation (국문) ✅ This article is a compilation of research reviews for study purposes. It was not written for commercial purposes. If there are any issues, it will be deleted. ✅ It's written in Korean, so if you need it, click the translate button and read it.논문 소개딥러닝 기반 Semantic 시맨틱 세그멘테이션이 막 활발해지던 시기, [Learning Deconvolution Network for Semantic Segmentation]은 단순히 FCN 구조를 따라가는 대신, “REAL Decoder”를 가진 네트워크를 제안.. Paper review 2025. 11. 19.

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  [Research review] - ContrastDiagnosis: Enhancing Interpretability inLung Nodule Diagnosis Using ContrastiveLearning ✅ This article is a compilation of research reviews for study purposes. It was not written for commercial purposes. If there are any issues, it will be deleted. ✅ It's written in English, so if you need it, click the translate button and read it. 1. IntroductionBackground & Problem RaisingRecently, the performance of AI model(especially Deep Learning model) has attracted significant attention. E.. Paper review 2025. 8. 20.