Comparative assessment of CNN architectures for classification of breast FNAC images.

Saikia, Amartya Ranjan; Bora, Kangkana; Mahanta, Lipi B; Das, Anup Kumar

Saikia, Amartya Ranjan; Bora, Kangkana; Mahanta, Lipi B; Das, Anup Kumar.

Affiliation

Saikia AR; The Department of Computer Science and Engineering, Assam Engineering College, Guwahati 781013, Assam, India. Electronic address: ar5saikia@gmail.com.
Bora K; The Department of Centre for Computational and Numerical Sciences, Institute of Advanced Study in Science and Technology, Guwahati 781035, Assam, India. Electronic address: kangkana.bora89@gmail.com.
Mahanta LB; The Department of Centre for Computational and Numerical Sciences, Institute of Advanced Study in Science and Technology, Guwahati 781035, Assam, India.
Das AK; Arya Wellness Center, Guwahati 781032, Assam, India. Electronic address: dranupdas@gmail.com.

Tissue Cell ; 57: 8-14, 2019 Apr.

Article in En | MEDLINE | ID: mdl-30947968

Subject(s)

Breast Neoplasms/classification; Breast Neoplasms/pathology; Deep Learning; Image Interpretation, Computer-Assisted/methods; Biopsy, Fine-Needle; Female; Humans; Male

Key words

Breast cancer; Convolutional neural network; Deep learning; FNAC

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Image Interpretation, Computer-Assisted / Deep Learning Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Tissue Cell Year: 2019 Document type: Article Country of publication: United kingdom

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google