R John Martin - JoVE Visualize

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Filters

R John Martin

Showing results (1-10 of 3) with videos related to

Pageof 1

Sort By:

Biomed Research International|September 1, 2022

Multidimensional CNN-Based Deep Segmentation Method for Tumor IdentificationR John Martin, Uttam Sharma, Kiranjeet Kaur, et al.

Current Cancer Drug Targets|March 14, 2026

Machine Vision Approaches for Cervical Cancer Screening Using Pap-Smear Images: A Systematic ReviewR John Martin, Mithlesh Arya, Jayabrabu Ramakrishnan, et al.

Scientific Reports|May 11, 2026

BC-SwinNet: Swin transformer and CNN with multi-objective optimization for multi-class breast cancer detection using Histopathological imagesMudassir Khan, Meteb Altaf, Nikhat Raza Khan, et al.

Pageof 1

Search research articles

Showing results (1-10 of 3) with videos related to

Sort By:

Pageof 1

Biomed Research International|September 1, 2022

Multidimensional CNN-Based Deep Segmentation Method for Tumor IdentificationR John Martin, Uttam Sharma, Kiranjeet Kaur, et al.

Current Cancer Drug Targets|March 14, 2026

Machine Vision Approaches for Cervical Cancer Screening Using Pap-Smear Images: A Systematic ReviewR John Martin, Mithlesh Arya, Jayabrabu Ramakrishnan, et al.

Scientific Reports|May 11, 2026

BC-SwinNet: Swin transformer and CNN with multi-objective optimization for multi-class breast cancer detection using Histopathological imagesMudassir Khan, Meteb Altaf, Nikhat Raza Khan, et al.

Pageof 1