MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;dr: Bored of fashionMNIST? P.S. NOT intended for clinical use. Jiancheng Yang,Rui Shi,Donglai Wei,Zequan Liu,Lin Zhao,Bilian Ke,Hanspeter Pfister,Bingbing Ni https://t.co/eR3ugjPTsj
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification.
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Oct 2021 – Apr 2023Where it's discussed
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X / Twitter27 posts
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What people are saying
The overall discussions reflect strong interest and appreciation for the dataset’s scale and openness, evidenced by phrases like 'large-scale lightweight benchmark' and mentions of datasets with hundreds of thousands of images. Words like 'support,' 'potential,' and 'recognize' show a positive tone, emphasizing the tool’s utility for advancing biomedical research, while some comments clarify its non-clinical purpose, which tempers the perceived impact.
Most discussions recognize the publication’s value as a comprehensive resource for biomedical image classification, with some expressing support for its extensive dataset and open-source approach.
Posts demonstrate high curiosity, highlighting the large scale of the dataset and its potential use in various research fields.
Several discussions delve into methodological aspects and the significance of providing standardized benchmarks, indicating active engagement.
The emphasis on broad accessibility and the utility for research suggests a perception of moderate impact, though some comments downplay clinical relevance.
Abstract in brief
- MedMNIST v2 is a large collection of standardized biomedical images, including 12 datasets for 2D images and 6 for 3D images, all preprocessed into small, manageable sizes to make it easy for users to work with without needing background knowledge.
- The dataset contains over 700,000 2D images and nearly 10,000 3D images, supporting various research and educational tasks like classification, with different complexities such as binary, multi-class, and multilabel problems.
- The creators tested different methods, including neural networks and AutoML tools, to establish baseline performance, and all data and code are openly available for further research in biomedical image analysis and machine learning.]
Top posts
Most liked on X and BlueskyMedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/Iq6XrbDwVq by Jiancheng Yang et al. #ComputerVision #OpenSource
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification https://t.co/lffrZRERPW #MachineLearning #NatureJournal #AI https://t.co/ayqdxmOFYq
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification MedMNIST v2 -- 2D および 3D 生物医学画像分類のための大規模で軽量なベンチマーク 2022-09-25T06:07:53+00:00 arXiv: https://t.co/SsKllBjxpB 英/日サマリ↓ https://t.co/JHZzRT4KUx
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification Datasets with MNIST-like properties, but for medical imaging. Provides 708,069 2D and 9,998 3D images across 12 2D and 6 3D datasets. https://t.co/iuHMs3Mqg9 https://t.co/1NNHJx29BF
RT @Deep__AI: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/Iq6XrbDwVq by Jia…
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MedMNIST v2: Large-Scale Benchmark for Biomedical Image Classification
MedMNIST v2 is a comprehensive collection of standardized biomedical images, including over 700,000 2D and nearly 10,000 3D images, designed for easy use in classification research and education. All data and code are…
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification Datasets with MNIST-like properties, but for medical imaging. Provides 708,069 2D and 9,998 3D images across 12 2D and 6 3D datasets. https://t.co/iuHMs3Mqg9 https://t.co/1NNHJx29BF
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification https://t.co/lffrZRERPW #MachineLearning #NatureJournal #AI https://t.co/ayqdxmOFYq
RT MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification https://t.co/a2ureL4MoR https://t.co/Mmlt3z1Za2
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D ... - https://t.co/Ik4B0H1LnA https://t.co/wG7ovEmxLJ https://t.co/FER4AgBlz4
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D ... - https://t.co/HPXr7mQKM8 https://t.co/YjXAUv271e
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D ... - https://t.co/I9OYexdPXs https://t.co/wZ0wwL60mv
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification MedMNIST v2 -- 2D および 3D 生物医学画像分類のための大規模で軽量なベンチマーク 2022-09-25T06:07:53+00:00 arXiv: https://t.co/SsKllBjxpB 英/日サマリ↓ https://t.co/JHZzRT4KUx
#MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical #ImageClassification https://t.co/98uM563fNL via @beapen
#MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical #ImageClassification https://t.co/t1xKYQcpMA
RT @Deep__AI: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/Iq6XrbDwVq by Jia…
RT @Deep__AI: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/Iq6XrbDwVq by Jia…
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/Iq6XrbDwVq by Jiancheng Yang et al. #ComputerVision #OpenSource
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/ClbFdiITxz Become a better expert via https://t.co/3Lriam4BWS #AI #MachineLearning #ArtificialIntelligence #NeuralNetworks #100DaysOfCode #Robotics
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/af6KjhhZzU
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
"MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification", Jiancheng Yang, R… https://t.co/3uwZ2e34wp
RT @ducha_aiki: MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;d…
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification https://t.co/7tZODHi3gb tl;dr: Bored of fashionMNIST? P.S. NOT intended for clinical use. Jiancheng Yang,Rui Shi,Donglai Wei,Zequan Liu,Lin Zhao,Bilian Ke,Hanspeter Pfister,Bingbing Ni https://t.co/eR3ugjPTsj
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification. (arXiv:2110.14795v1 [https://t.co/1uAOVrWCaz]) https://t.co/75FMKAEWTc
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification MedMNIST v2:2Dおよび3D生物医学画像分類のための大規模軽量ベンチマーク 2021-10-27T22:02:04+00:00 arXiv: https://t.co/ZVZXua1Rw6 英/日サマリ↓ https://t.co/794r0Cl1MS