14 citations · 19 across the 3 of their papers we have counts for
3 papers
Parameter-Efficient Methods for Metastases Detection from Clinical Notes
Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan +2
Understanding the progression of cancer is crucial for defining treatments for patients. The objective of this study is to automate the detection of metastatic liver disease from f…
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do +1
Detection of tumors in metastatic colorectal cancer (mCRC) plays an essential role in the early diagnosis and treatment of liver cancer. Deep learning models backboned by fully con…
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases
Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson
Small liver lesions common to colorectal liver metastases (CRLMs) are challenging for convolutional neural network (CNN) segmentation models, especially when we have a wide range o…