1 citations · 4 across the 16 of their papers we have counts for
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BiSe-Unet: A Lightweight Dual-path U-Net with Attention-refined Context for Real-time Medical Image Segmentation
M Iffat Hossain, Laura Brattain
During image-guided procedures, real-time image segmentation is often required. This demands lightweight AI models that can operate on resource-constrained devices. One important u…
Fourier Transform Multiple Instance Learning for Whole Slide Image Classification
Anthony Bilic, Guangyu Sun, Ming Li +6
Whole Slide Image (WSI) classification relies on Multiple Instance Learning (MIL) with spatial patch features, yet existing methods struggle to capture global dependencies due to t…
Multimodal Deep Learning for Phyllodes Tumor Classification from Ultrasound and Clinical Data
Farhan Fuad Abir, Abigail Elliott Daly, Kyle Anderman +2
Phyllodes tumors (PTs) are rare fibroepithelial breast lesions that are difficult to classify preoperatively due to their radiological similarity to benign fibroadenomas. This ofte…
T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection
Manikanta Varaganti, Amulya Vankayalapati, Nour Awad +2
Neck ultrasound (US) plays a vital role in airway management by providing non-invasive, real-time imaging that enables rapid and precise interventions. Deep learning-based anatomic…