# Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/surpassing-the-human-accuracy-detecting-gallbladder-cancer-from-usg-images-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Soumen Basu,Mayank Gupta,Pratyaksha Rana,Pankaj Gupta,Chetan Arora |
| Citations | 54 |
| DOI | 10.1109/cvpr52688.2022.02022 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4312517597 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Chetan Arora](https://scholariq.org/researchers/chetan-arora/)

## Paper primary topic

- [Cholangiocarcinoma and Gallbladder Cancer Studies](https://scholariq.org/topics/cholangiocarcinoma-and-gallbladder-cancer-studies/)

## Paper topics

- [Cholangiocarcinoma and Gallbladder Cancer Studies](https://scholariq.org/topics/cholangiocarcinoma-and-gallbladder-cancer-studies/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Cancer-related molecular mechanisms research](https://scholariq.org/topics/cancer-related-molecular-mechanisms-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.