Skip to content

PeerfordResearch intelligence

Countries
Institutions
Researchers
Fields
Rankings
Compare
Commons

Search institutions, scholars, countries and publications

Countries
Institutions
Researchers
Fields
Rankings
Compare

CommonsWhere researchers talk about their work

Search institutions, scholars, countries and publications

Every figure here is counted by Peerford from the works themselves, the same way for every institution.

Browse

Countries
Institutions
Researchers
Fields
Rankings
Commons, for researchers

About

How Peerford counts
Compare institutions
Privacy
Terms of use

Contact

hello@peerford.com
https://wa.me/peerford · WhatsApp

Language

English
FrançaisFrench
PortuguêsPortuguese
العربيةArabic

Theme

SystemLightDark

Explainable AI for Colorectal Cancer Classification · Peerford

Book chapter · Book chapter · 2024

Explainable AI for Colorectal Cancer Classification

Mwenge Mulenga, Manjeevan Seera, S. B. Kareem, Aznul Qalid Md Sabri

Computational intelligence methods and applications

Closed access
International · 2 countries

Go to the publisher 10.1007/978-981-97-3705-5_10

Citations: 0from other works
Field-weighted impact: 0.001.00 is the world average for its field and year
Among its field: 32nd percentileby citations, against works of its field and year
Authors: 4from 3 institutions

Authors

4 authors across 3 institutions in 2 countries

Mwenge MulengaFirst author
- National Institute of Public Administration (ZM)
Manjeevan SeeraCorresponding
S. B. Kareem
as printed: Sameem Abdul Kareem
Aznul Qalid Md SabriSenior author

Development goals

3Good health and well-being

Countries on it

Malaysia
Zambia

Also on it

Monash University Malaysiaeducation · MY

University of Malayaeducation · MY

Fields

A work can sit in several, each with a score

Radiomics and Machine Learning in Medical ImagingTopic
AI in cancer detectionTopic
Colorectal Cancer Screening and DetectionTopic