Mohammad Amanour Rahman
PulseAugur coverage of Mohammad Amanour Rahman — every cluster mentioning Mohammad Amanour Rahman across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI models advance ultrasound segmentation with new learning frameworks
Researchers have developed novel multi-task learning frameworks for medical image segmentation, focusing on breast and thyroid ultrasound data. The first approach, using BI-RADS-consistent morphological priors, improves…
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New backpropagation-free framework for thyroid nodule segmentation
Researchers have developed MedSaab-US, a novel framework for segmenting thyroid nodules in ultrasound images that does not rely on backpropagation or deep learning. This approach combines multi-level Discrete Wavelet Tr…
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New RadiomicNet architecture enhances medical image segmentation with interpretable AI
Researchers have developed RadiomicNet, a novel deep learning architecture for medical image segmentation that integrates handcrafted radiomics features to enhance interpretability and reduce computational requirements.…