Hossain Lab
AI for Medical Imaging (AIM)
AIM Lab (Artificial Intelligence for Medical Imaging) is committed to advancing artificial intelligence technologies in medical imaging, with a particular emphasis on digital and computational pathology. Led by Dr. Hossain Md Shakhawat, Associate Professor at Kochi University of Technology (KUT), the lab focuses on developing AI-powered solutions for medical image analysis to improve diagnostic accuracy and support clinical decision-making. The lab’s core research areas include cancer detection, grading, and staging and applying computer vision techniques in pathology. Through innovative and interdisciplinary research, AIM Lab strives to drive breakthroughs in AI-enabled diagnostics and foster the integration of data-driven approaches in modern healthcare.
Research Areas
Advancing the field of AI and medical imaging
Endoscope vision enhancing ease for endoscopists and comfort for patients
This project aims to develop an AI-guided vision module for endoscopes to assist in real-time navigation, anomaly detection, and surgical procedures within the digestive …
Nuclei Segmentation in Histopathology Images
This research project focuses on developing advanced AI algorithms for accurate nuclei segmentation in histopathology images, a critical step in computational pathology. Precise segmentation …
Residual Tumor Cellularity Assessment After Neoadjuvant Therapy
Residual Tumor Cellularity (RTC) assessment after neoadjuvant therapy is essential for evaluating treatment response and guiding further clinical decisions in breast cancer care. We intend …
Gleason Grading of Prostate Cancer
This research focuses on developing deep learning-based methods for automated Gleason grading of prostate cancer using low-resolution histopathology whole slide images. Gleason …
AI-guided Solution for Selecting Ovarian Cancer Patients for Bevacizumab Monoclonal Therapy
Ovarian cancer treatment outcomes can vary significantly among patients, making personalized therapy selection crucial. This research aims to develop an AI-guided solution leveraging advanced multimodal …
HER2 Grading of Breast Cancer Patients
Our lab handles large-scale data to extract meaningful insights through statistical modeling, predictive analysis, and data visualization. We aim to support data-driven decision making.
Join Our Research Community
We're always looking for talented researchers to collaborate with us and advance the field of AI in medical imaging