InDataDuniyabySheik Jamil Ahmed·Sep 20Beyond Convolutions: Demystifying the Vision Transformer and Its Real-World ImpactFor nearly a decade, Convolutional Neural Networks (CNNs) were the undisputed royalty of computer vision. From ResNets to EfficientNets, if…
Zulfiia Ditto·Jun 7, 2025Image Annotation ToolsOverview of Annotation Formats and Tools for Medical Imaging
InBecoming Human: Artificial Intelligence MagazinebyRayan Potter·Jul 5, 2024Role of Medical Image Annotation in Enhancing HealthcareSummary: Medical Data Annotation helps healthcare providers in making accurate diagnoses by enhancing the accuracy of diagnostic tools. It…A response icon1A response icon1
Research Graph·Mar 12, 2024How Much Can Vision Language Models Really “See”?Exploring the potentials and limitations of Vision Language Models
Mangesh Deshpande, Ph. D.·Aug 18, 2023How to Split the data in DICOM, NIFTI, HDF or NPY format for developing Deep Learning Models?While developing a deep learning model, we need to train the model on a set of data so that it can learn the patterns within the data…
InArtificial CornerbyGolnaz Hosseini·Jul 9, 2023Unet-like Pure Transformer for Medical Image Segmentation | Swin-UNetA pure Transformer-based U-shaped Encoder-Decoder network
Abdulkader Helwan·Feb 1, 2023Public Medical Imaging Datasets For Artificial Intelligence ModelsGathering imaging data is a fundamental part of creating artificial intelligence models for diagnostic radiology. These datasets can be…
Prins Wu·Oct 29, 2022DICOM Basic這2年在一家外包商服務，而這家外包商的客戶是美國一家醫療服務公司。我們所屬部門負責醫療影像的雲端儲存，所以也就第一次接觸Dicom這個標準。DICOM是一種關於數位醫療影像的傳輸、儲存、查詢、轉移等操作的標準。舉例來說，當你照完了X光，想要把X光數位影像儲存到醫院本地的醫療儲存設…
Tsai Jeff·Aug 11, 2022C(Causal)-CAM 在醫學影像上使用弱監督語意分割原論文名稱：C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image
