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Breast Cancer Detection

8 papers with code ยท Medical
Subtask of Cancer

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Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation

26 Jul 2019

Weakly supervised instance labeling using only image-level labels, in lieu of expensive fine-grained pixel annotations, is crucial in several applications including medical image analysis.

BREAST CANCER DETECTION INSTANCE SEGMENTATION MULTIPLE INSTANCE LEARNING SEMANTIC SEGMENTATION

Improving Breast Cancer Detection using Symmetry Information with Deep Learning

17 Aug 2018

At candidate level, AUC value of 0. 933 with 95% confidence interval of [0. 920, 0. 954] was obtained when symmetry information is incorporated in comparison with baseline architecture which yielded AUC value of 0. 929 with [0. 919, 0. 947] confidence interval.

BREAST CANCER DETECTION

Conditional Infilling GANs for Data Augmentation in Mammogram Classification

21 Jul 2018

Deep learning approaches to breast cancer detection in mammograms have recently shown promising results.

BREAST CANCER DETECTION DATA AUGMENTATION

Circular Antenna Array Design for Breast Cancer Detection

15 Jan 2018

Microwave imaging for breast cancer detection is based on the contrast in the electrical properties of healthy fatty breast tissues.

BREAST CANCER DETECTION

Deep Learning Diffuse Optical Tomography

4 Dec 2017

Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast cancer detection thanks to its excellent contrast to hemoglobin oxidization level.

BREAST CANCER DETECTION

A Novel Low-Complexity Framework in Ultra-Wideband Imaging for Breast Cancer Detection

8 Sep 2017

In this research work, a novel framework is pro- posed as an efficient successor to traditional imaging methods for breast cancer detection in order to decrease the computational complexity.

BREAST CANCER DETECTION

ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images

30 Jul 2017

Lymph node metastasis is one of the most significant diagnostic indicators in breast cancer, which is traditionally observed under the microscope by pathologists.

BREAST CANCER DETECTION

Added value of morphological features to breast lesion diagnosis in ultrasound

6 Jun 2017

The combination of the radiologist's experience related to the BI-RADS and the morphological features leads to a more effective breast lesion classification.

BREAST CANCER DETECTION FEATURE SELECTION

Ensemble classifier approach in breast cancer detection and malignancy grading- A review

11 Apr 2017

Therefore EUSBoost, ensemble based classifier is proposed which is efficient and is able to outperform other classifiers as it takes the benefits of both-boosting algorithm with Random Undersampling techniques.

BREAST CANCER DETECTION

Microwave breast cancer detection using Empirical Mode Decomposition features

24 Feb 2017

One of the most widely used feature extraction method is principle component analysis (PCA).

BREAST CANCER DETECTION