output
20122026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

Showing cs.CVShow all

7 papers · 1 filter

cs.CV2025★ 3 cited

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation

Huu Phong Nguyen, Shekhar Madhav Khairnar, Sofia Garces Palacios +6

The interest in leveraging Artificial Intelligence (AI) for surgical procedures to automate analysis has witnessed a significant surge in recent years. One of the primary tools for…

cs.CV2024★ 134 cited

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

Qiao Jin, Fangyuan Chen, Yiliang Zhou +15

Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily…

cs.CV2019★ 3 cited

Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning

Yi Zhen, Hang Chen, Xu Zhang +4

To investigate whether and to what extent central serous chorioretinopathy (CSC) depicted on color fundus photographs can be assessed using deep learning technology. We collected a…

cs.CV2015★ 6 cited

The Cumulative Distribution Transform and Linear Pattern Classification

Se Rim Park, Soheil Kolouri, Shinjini Kundu +1

Discriminating data classes emanating from sensors is an important problem with many applications in science and technology. We describe a new transform for pattern identification…

cs.CV2015★ 6 cited

Aging display's effect on interpretation of digital pathology slides

Ali R. N. Avanaki, Kathryn S. Espig, Sameer Sawhney +4

It is our conjecture that the variability of colors in a pathology image effects the interpretation of pathology cases, whether it is diagnostic accuracy, diagnostic confidence, or…

cs.CV2013

Discriminative Parameter Estimation for Random Walks Segmentation

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4

The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate…

cs.CV2013

Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4

The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate…