output
20182025
most citedThe Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

151 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 10 cited

GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation

Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan +2

Histopathological image segmentation is a laborious and time-intensive task, often requiring analysis from experienced pathologists for accurate examinations. To reduce this burden…

cs.CV2020

Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training

Vinkle Srivastav, Britty Baby, Ramandeep Singh +2

Neuro-endoscopy is a challenging minimally invasive neurosurgery that requires surgical skills to be acquired using training methods different from the existing apprenticeship mode…

cs.CV2020★ 63 cited

SDCT-AuxNet: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis

Shiv Gehlot, Anubha Gupta, Ritu Gupta

Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across the globe. With the popularity of convolutional neural networks (CNNs), computer-aided di…

cs.CV2018★ 20 cited

LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer

Simmi Mourya, Sonaal Kant, Pulkit Kumar +2

Acute lymphoblastic leukemia (ALL) constitutes approximately 25% of the pediatric cancers. In general, the task of identifying immature leukemic blasts from normal cells under the…