We are excited to share that our team “TIAKong” secured leading positions in the recent PUMALink opens in a new window (Panoptic segmentation of nuclei and tissue in advanced Melanoma) Challenge, organized by the Department of Medical Oncology, University Medical Center Utrecht, in the Netherlands. With over 300 participants from around the globe, this challenge aimed to advance automated panoptic segmentation techniques for H&E-stained melanoma tissue images.

Led by our PhD students Jiaqi Lv and YiJie Zhu, and supported by Brinder Singh Chohan, Shan E Ahmed Raza, with an external collaborator Carmen Guadalupe Colin Tenorio from the Medical University of Vienna. TIAKong achieved first place in Track 1 and second place in Track 2. This outstanding performance underscores the team’s dedication to pushing the boundaries of medical imaging and improving our understanding of advanced melanoma.

We look forward to building on these results and sharing further developments of our panoptic segmentation model in the near future.

We are excited to announce that our team “TIAKong” secured leading positions in the recent Monkey Grand ChallengeLink opens in a new window, organized by the Department of Pathology, Radboudumc, Nijmegen, The Netherlands. Drawing more than 400 participants from around the globe, the challenge focused on automated detection and classification of mononuclear leukocytes in PAS-stained transplant kidney biopsy images.

Led by our PhD student Jiaqi Lv, and supported by Esha Nasir, Kesi Xu, Mostafa Jahanifar, Brinder Singh Chohan, Behnaz Elhaminia, and Shan E Ahmed Raza, TIAKong’s cell detection and classification model finished first place in the overall detection track and second place in the detection classification track.

The team is currently evaluating the model for publishing and sharing the code through open-source platforms. We look forward to sharing more updates in the near future.