Snap Diagnosis: Developing an Artificial Intelligence Algorithm for Penile Cancer Detection from Photographs
Jianliang Liu, Jonathan S. O’Brien, Kishor Nandakishor, Niranjan J. Sathianathen, Jiasian Teh, Todd Manning, Dixon T. S. Woon, Declan G. Murphy, Damien Bolton, Justin Chee, Marimuthu Palaniswami, Nathan Lawrentschuk · 2024
Read Snap Diagnosis: Developing an Artificial Intelligence Algorithm for Penile Cancer Detection from Photographs by Jianliang Liu, Jonathan S. O’Brien, Kishor Nandakishor, Niranjan J. Sathianathen, Jiasian Teh, Todd Manning, Dixon T. S. Woon, Declan G. Murphy, Damien Bolton, Justin Chee, Marimuthu Palaniswami, Nathan Lawrentschuk (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11640715.txt.
Description
Jianliang Liu and eleven co-authors train an AI model to spot penile cancer in photographs, in this 2024 pilot paper. This cancer grows fast, and early spotting saves lives. Yet many men present late, held back by low awareness and shame. A photo-based screen could speed referrals.
The team built a convolutional network from 136 lesion images gathered from open medical papers: 65 cancers, 44 precancerous lesions, and 27 benign ones. Split into training, validation, and test sets, the model separated cancer from benign lesions well, with an accuracy curve score of 0.94. It struggled more against precancerous lesions, scoring 0.74 there. The authors stress the small, secondhand image set and call for trials on real clinic photos before any use.
Catalog record
| CREATOR | Jianliang Liu, Jonathan S. O’Brien, Kishor Nandakishor, Niranjan J. Sathianathen, Jiasian Teh, Todd Manning, Dixon T. S. Woon, Declan G. Murphy, Damien Bolton, Justin Chee, Marimuthu Palaniswami, Nathan Lawrentschuk |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 15 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |