Dec 28, 2023 · In breast cancer grading, the subtle differences between HE-stained pathological images and the insufficient number of data samples lead to grading ...

Mar 20, 2024 · This research proposes a deep technique using Convolutional Neural Networks (CNNs) to identify cases of multiple types of skin cancers using dermoscopy image ...

Oct 31, 2023 · Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion. ... image synthesis method for skin lesion ...

May 2, 2024 · [119] proposed a late-fusion technique to study screening of cervical cancer at early stages by using CNNs to extract features from histology images ...

May 18, 2024 · Predicting response to immunotherapy using computer extracted features of cancer nuclei from hematoxylin and eosin (HandE) stained images of non-small cell lung ...

Jun 24, 2024 · The radiomics feature fusion with deep learning features approach offers ... MRI based medical image analysis: survey on brain tumor grade classification.

May 8, 2024 · Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing. Biomed. Signal Process Control. 2021 ...

Oct 15, 2023 · One is the research on medical image segmentation based on image block classification ... Deep learning based classification of military cartridge cases ...

Aug 28, 2023 · developed a deep learning-based method to characterize breast cancer images. They exploited VGG-based FCN to perform region and nucleus-level segmentation.

Feb 6, 2024 · He proposes an evolved attention-cost-sensitive deep-learning-based feature fusion ensemble meta-classifier approach that incorporates refined cost weights to ...