![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F654629%2Ff8e168acbe21d8e7198e36f195186fbc%2F2019-08-03%2009_18_04-1812.07101.pdf.png?generation=1564813350621196&alt=media\")
Application of Deep Learning in Fundus Image Processing\nfor Ophthalmic Diagnosis - A Review\nhttps://arxiv.org/pdf/1812.07101.pdf\n
A Two Stage GAN for High Resolution Retinal Image Generation and\nSegmentation\nhttps://arxiv.org/pdf/1907.12296.pdf
\n\nAccurate Retinal Vessel Segmentation via\nOctave Convolution Neural Network\nhttps://arxiv.org/pdf/1906.12193.pdf
\n\nretina-VAE: Variationally Decoding the Spectrum of\nMacular Disease\nhttps://arxiv.org/pdf/1907.05195.pdf
\n\nUnderstanding Adversarial Attacks on Deep Learning Based\nMedical Image Analysis Systems\nhttps://arxiv.org/pdf/1907.10456.pdf
\n\nEnjoy.
", "messages": [ { "id": "591099", "postDate": "08/03/2019 06:22:37", "content": "Application of Deep Learning in Fundus Image Processing\nfor Ophthalmic Diagnosis - A Review\nhttps://arxiv.org/pdf/1812.07101.pdf\n
A Two Stage GAN for High Resolution Retinal Image Generation and\nSegmentation\nhttps://arxiv.org/pdf/1907.12296.pdf
\n\nAccurate Retinal Vessel Segmentation via\nOctave Convolution Neural Network\nhttps://arxiv.org/pdf/1906.12193.pdf
\n\nretina-VAE: Variationally Decoding the Spectrum of\nMacular Disease\nhttps://arxiv.org/pdf/1907.05195.pdf
\n\nUnderstanding Adversarial Attacks on Deep Learning Based\nMedical Image Analysis Systems\nhttps://arxiv.org/pdf/1907.10456.pdf
\n\nEnjoy.
", "rawMarkdown": "Application of Deep Learning in Fundus Image Processing\nfor Ophthalmic Diagnosis - A Review\nhttps://arxiv.org/pdf/1812.07101.pdf\n\n\nA Two Stage GAN for High Resolution Retinal Image Generation and\nSegmentation\nhttps://arxiv.org/pdf/1907.12296.pdf\n\nAccurate Retinal Vessel Segmentation via\nOctave Convolution Neural Network\nhttps://arxiv.org/pdf/1906.12193.pdf\n\nretina-VAE: Variationally Decoding the Spectrum of\nMacular Disease\nhttps://arxiv.org/pdf/1907.05195.pdf\n\nUnderstanding Adversarial Attacks on Deep Learning Based\nMedical Image Analysis Systems\nhttps://arxiv.org/pdf/1907.10456.pdf\n\nEnjoy.", "votes": null }, { "id": "591103", "postDate": "08/03/2019 06:41:24", "content": "Thanks for sharing. It is great resource to understand the implementation process. Where can i get code reference for these papers.
", "rawMarkdown": "Thanks for sharing. It is great resource to understand the implementation process. Where can i get code reference for these papers.", "votes": null }, { "id": "591110", "postDate": "08/03/2019 07:00:57", "content": "Most of the papers are from July 2019, and they have not published the respective code (its a shame ...)
", "rawMarkdown": "Most of the papers are from July 2019, and they have not published the respective code (its a shame ...)", "votes": null }, { "id": "592221", "postDate": "08/05/2019 03:18:00", "content": "Will definitely take a look, thanks for sharing!
", "rawMarkdown": "Will definitely take a look, thanks for sharing!", "votes": null }, { "id": "593277", "postDate": "08/06/2019 11:52:25", "content": "Thanks for sharing the papers' links.. It is really very much helpful
", "rawMarkdown": "Thanks for sharing the papers' links.. It is really very much helpful", "votes": null } ], "comments": [ { "id": 591103, "author_name": "ankittomar1", "author_url": "", "post_date": "08/03/2019 06:41:24", "content": "Thanks for sharing. It is great resource to understand the implementation process. Where can i get code reference for these papers.
", "votes": null, "replies": [ { "id": 591110, "author_name": "pilipili", "author_url": "", "post_date": "08/03/2019 07:00:57", "content": "Most of the papers are from July 2019, and they have not published the respective code (its a shame ...)
", "votes": null, "replies": [] } ] }, { "id": 592221, "author_name": "sidhanthholalkere", "author_url": "", "post_date": "08/05/2019 03:18:00", "content": "Will definitely take a look, thanks for sharing!
", "votes": null, "replies": [] }, { "id": 593277, "author_name": "nanditab35", "author_url": "", "post_date": "08/06/2019 11:52:25", "content": "Thanks for sharing the papers' links.. It is really very much helpful
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "591099": "Application of Deep Learning in Fundus Image Processing\nfor Ophthalmic Diagnosis - A Review\nhttps://arxiv.org/pdf/1812.07101.pdf\n\n\nA Two Stage GAN for High Resolution Retinal Image Generation and\nSegmentation\nhttps://arxiv.org/pdf/1907.12296.pdf\n\nAccurate Retinal Vessel Segmentation via\nOctave Convolution Neural Network\nhttps://arxiv.org/pdf/1906.12193.pdf\n\nretina-VAE: Variationally Decoding the Spectrum of\nMacular Disease\nhttps://arxiv.org/pdf/1907.05195.pdf\n\nUnderstanding Adversarial Attacks on Deep Learning Based\nMedical Image Analysis Systems\nhttps://arxiv.org/pdf/1907.10456.pdf\n\nEnjoy.", "591103": "Thanks for sharing. It is great resource to understand the implementation process. Where can i get code reference for these papers.", "591110": "Most of the papers are from July 2019, and they have not published the respective code (its a shame ...)", "592221": "Will definitely take a look, thanks for sharing!", "593277": "Thanks for sharing the papers' links.. It is really very much helpful" }, "source": "meta" }