18 citations · 21 across the 6 of their papers we have counts for
3 papers · 1 filter
Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge
Gongning Luo, Mingwang Xu, Hongyu Chen +34
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a ne…
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
Vincent Loos, Rohit Pardasani, Navchetan Awasthi
Medical image segmentation is a critical task in healthcare applications, and U-Nets have demonstrated promising results. This work delves into the understudied aspect of receptive…
Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography
Navchetan Awasthi, Rohit Pardasani, Sandeep Kumar Kalva +2
The quality of the reconstructed photoacoustic image largely depends on the amount of photoacoustic (PA) boundary data available, which in turn is proportional to the number of det…