THE DETECTION OF ABNORMALITIES IN MAMMOGRAMS

THE DETECTION OF ABNORMALITIES IN MAMMOGRAMS

Bibliographic Details
Main Authors:	Kok, S, Brady, J, Tarassenko, L
Format:	Conference item
Published:	1994

Similar Items

Tensor-Based Learning for Detecting Abnormalities on Digital Mammograms
by: Ioannis N. Tzortzis, et al.
Published: (2022-10-01)

Review of Different Methods of Abnormal Mass Detection in Digital Mammograms
by: Sangita Bhattacharjee, et al.
Published: (2022-08-01)

Malignancy and abnormality detection of mammograms using discrete wavelet transformed features and neural network
by: Talha, Muhammad, et al.
Published: (2012)

Using global feedback to induce learning of gist of abnormality in mammograms
by: E. M. Raat, et al.
Published: (2023-01-01)

Quantification and normalization of x-ray mammograms.
by: Tromans, C, et al.
Published: (2012)

Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network
by: Frederik Abel, et al.
Published: (2022-05-01)

Factors associated with the proportion of abnormal results in screening mammograms: ecological study
by: Tatiana do Valle Lovato Sverzut, et al.
Published: (2023-06-01)

An approach for automatic lesion detection in mammograms
by: K.U. Sheba, et al.
Published: (2018-01-01)

Development of a microRNA Panel for Classification of Abnormal Mammograms for Breast Cancer
by: Ruiyang Zou, et al.
Published: (2021-04-01)

ANALYSIS OF DIGITAL MAMMOGRAMS FOR DETECTION OF BREAST CANCER
by: , Faisal, et al.
Published: (2014)

Automatic Segmentation And Detection Of Mass In Digital Mammograms
by: Mat Isa, Nor Ashidi, et al.
Published: (2012)

Detection of Masses and Microcalcifications in Digital Mammogram Images
by: Langarizadesh, Mostafa
Published: (2011)

Shape analysis in mammograms
by: Janan, F
Published: (2013)

Breast Cancer Detection in the Equivocal Mammograms by AMAN Method
by: Nehad M. Ibrahim, et al.
Published: (2023-06-01)

Detecting Breast Arterial Calcifications in Mammograms with Transfer Learning
by: Rimsha Khan, et al.
Published: (2023-01-01)

Contrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters
by: Hajar Moradmand, et al.
Published: (2014-08-01)

3070 Time to Diagnostic Resolution After an Abnormal Screening Mammogram: a Single-Center Experience in an Underserved Hospital
by: Anita J Kumar, et al.
Published: (2019-03-01)

Novelty detection for the identification of abnormalities
by: Tarassenko, L, et al.
Published: (2000)

Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
by: Mohd Nizom, Ahmad Nabil
Published: (2018)

Computerized Analysis of Mammogram Images for Early Detection of Breast Cancer
by: Yassir Edrees Almalki, et al.
Published: (2022-04-01)

Adaptive Threshold-Based Tumor Detection Algorithm For Mammograms Images
by: Taha Basheer Taha
Published: (2023-06-01)

Model-based analysis of mammograms
by: Cerneaz, N
Published: (1994)

eDiaMoND: A Grid−enabled federated database of annotated mammograms
by: Brady, J, et al.
Published: (2003)

Mammogram Image Enhancement Techniques for Online Breast Cancer Detection and Diagnosis
by: Daniel S. da Silva, et al.
Published: (2022-11-01)

Probabilistic Detection of Vital Sign Abnormality with Gaussian Process Regression
by: Wong, D, et al.
Published: (2012)

The Effect of Automated Mammogram Orders Paired With Electronic Invitations to Self-schedule on Mammogram Scheduling Outcomes: Observational Cohort Comparison
by: Frederick North, et al.
Published: (2021-12-01)

Fuzzy Techniques For Contrast Enhancement Of Mammograms
by: Oo, Chin Hong
Published: (2011)

Similarity measurement on digital mammogram classification
by: Alimudin, Erna, et al.
Published: (2022)

Breast tumor diagnosis in digital mammograms
by: Yang Lim, Xiang, et al.
Published: (2019)

Image Augmentation Techniques for Mammogram Analysis
by: Parita Oza, et al.
Published: (2022-05-01)

The investigation of AI models on cancer sizes of screening mammograms
by: Z. Jiang, et al.
Published: (2024-04-01)

Enhancing the Quality and Authenticity of Synthetic Mammogram Images for Improved Breast Cancer Detection
by: Dilawar Shah, et al.
Published: (2024-01-01)

Region-of-Interest Optimization for Deep-Learning-Based Breast Cancer Detection in Mammograms
by: Hoang Nhut Huynh, et al.
Published: (2023-06-01)

Positive predictive value of Birads IV Lesions on mammogram in detection of breast carcinoma
by: Anila Rahim, et al.
Published: (2022-08-01)

A New Image Mining Approach for Detecting Micro-Calcification in Digital Mammograms
by: Farzaneh Moradkhani, et al.
Published: (2017-07-01)

Classification of Digital Mammogram based on Nearest-Neighbor Method for Breast Cancer Detection
by: Anggrek Citra Nusantara, et al.
Published: (2016-01-01)

Evaluation of deep learning models for detecting breast cancer using histopathological mammograms Images
by: Subasish Mohapatra, et al.
Published: (2022-01-01)

EXTENDED MAMMOGRAM CLASSIFICATION FROM TEXTURAL FEATURES
by: Adél BAJCSI, et al.
Published: (2023-02-01)

Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover
by: Juhun Lee, et al.
Published: (2024-02-01)

Automated Breast Cancer Detection in Digital Mammograms of Various Densities via Deep Learning
by: Yong Joon Suh, et al.
Published: (2020-11-01)