scholarly journals Multi-agents system for breast tumour detection in mammography by deep learning pre-processing and watershed segmentation

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Nacereddine Boukabach ◽  
Saida Lemnadjlia ◽  
Ahlem Melouah ◽  
Zahia Guessoum ◽  
Hayet Farida Merouani ◽  
...  
Keyword(s):  
Deep Learning ◽  
Breast Tumour ◽  
Watershed Segmentation ◽  
Tumour Detection ◽  
Multi Agents

Brain Tumour Detection Using Deep Learning

2021 ◽  
Author(s):  
Avigyan Sinha ◽  
Aneesh R P ◽  
Malavika Suresh ◽  
Nitha Mohan R ◽  
Abinaya D ◽  
...  
Keyword(s):  
Deep Learning ◽  
Brain Tumour ◽  
Tumour Detection

A novel enhanced softmax loss function for brain tumour detection using deep learning

2020 ◽  
Vol 330 ◽  
pp. 108520 ◽  
Author(s):  
Sunil Maharjan ◽  
Abeer Alsadoon ◽  
P.W.C. Prasad ◽  
Thair Al-Dalain ◽  
Omar Hisham Alsadoon
Keyword(s):  
Deep Learning ◽  
Brain Tumour ◽  
Loss Function ◽  
Tumour Detection

scholarly journals 2-D reconstruction of breast image using Forward-Backward Time-Stepping method for breast tumour detection

2012 ◽  
Author(s):  
Marta A/P Elizabeth ◽  
Kismet Anak Hong Ping ◽  
Ng Shi Wei ◽  
Wan Azlan bin Wan Zainal Abidin ◽  
Thelaha bin Masri ◽  
...  
Keyword(s):  
Breast Tumour ◽  
Tumour Detection ◽  
Time Stepping ◽  
Breast Image

Integrating spatial gene expression and breast tumour morphology via deep learning

2020 ◽  
Vol 4 (8) ◽  
pp. 827-834 ◽  
Author(s):  
Bryan He ◽  
Ludvig Bergenstråhle ◽  
Linnea Stenbeck ◽  
Abubakar Abid ◽  
Alma Andersson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Deep Learning ◽  
Breast Tumour

High-resolution tensor MR elastography for breast tumour detection

2000 ◽  
Vol 45 (6) ◽  
pp. 1649-1664 ◽  
Author(s):  
R Sinkus ◽  
J Lorenzen ◽  
D Schrader ◽  
M Lorenzen ◽  
M Dargatz ◽  
...  
Keyword(s):  
High Resolution ◽  
Breast Tumour ◽  
Mr Elastography ◽  
Tumour Detection

Three-Dimensional Holographic Microwave Imaging Array: Experimental Investigation of Tumour Detection in Breast Phantom

2013 ◽  
Author(s):  
Lulu Wang ◽  
Ray Simpkin ◽  
A. M. Al-Jumaily
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Clinical Breast Examination ◽  
Breast Tumour ◽  
Microwave Imaging ◽  
Ease Of Use ◽  
Experimental Result ◽  
Tumour Detection ◽  
Imaging Array ◽  
Breast Phantom

This paper extends our previously presented two-dimensional (2-D) Holographic Microwave Imaging Array (HMIA) system for early breast tumour detection to three-dimensional (3-D) imaging, and demonstrates its efficacy using experimental data obtained with a breast phantom. This work describes an experimental setup to collect data to form a 3-D breast image. The obtained experimental result proves that the 3-D HMIA system has potential to become a screening and diagnostic tool that could supplement clinical breast examination through its sensitivity, quantitative record storage, ease-of-use, and inherent low cost.

Sign in / Sign up

Export Citation Format

Share Document