Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
NIR Yassin, S Omran, EMF El Houby… - Computer methods and …, 2018 - Elsevier
Background and objective The high incidence of breast cancer in women has increased
significantly in the recent years. Physician experience of diagnosing and detecting breast …
significantly in the recent years. Physician experience of diagnosing and detecting breast …
A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
This paper examines and assesses state-of-the-art proposed machine and deep learning
techniques for breast cancer identification and classification based on breast screening …
techniques for breast cancer identification and classification based on breast screening …
Local mesh patterns versus local binary patterns: biomedical image indexing and retrieval
In this paper, a new image indexing and retrieval algorithm using local mesh patterns are
proposed for biomedical image retrieval application. The standard local binary pattern …
proposed for biomedical image retrieval application. The standard local binary pattern …
Local wavelet pattern: a new feature descriptor for image retrieval in medical CT databases
A new image feature description based on the local wavelet pattern (LWP) is proposed in
this paper to characterize the medical computer tomography (CT) images for content-based …
this paper to characterize the medical computer tomography (CT) images for content-based …
Local ternary co-occurrence patterns: a new feature descriptor for MRI and CT image retrieval
This paper presents a novel feature extraction algorithm called local ternary co-occurrence
patterns (LTCoP) for biomedical image retrieval. The LTCoP encodes the co-occurrence of …
patterns (LTCoP) for biomedical image retrieval. The LTCoP encodes the co-occurrence of …
A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation
Purpose Breast cancer is one of the major reasons of death due to cancer in women. Early
diagnosis is the most critical key for disease screening, control, and reducing mortality. A …
diagnosis is the most critical key for disease screening, control, and reducing mortality. A …
Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features
T Liu, S Xie, J Yu, L Niu, W Sun - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Ultrasonography is a valuable diagnosis method for thyroid nodules. Automatically
discriminating benign and malignant nodules in the ultrasound images can provide aided …
discriminating benign and malignant nodules in the ultrasound images can provide aided …
Local bit-plane decoded pattern: a novel feature descriptor for biomedical image retrieval
A novel image feature descriptor based on the local bit-plane decoded pattern (LBDP) is
introduced for indexing and retrieval of biomedical images in this paper. A local bit-plane …
introduced for indexing and retrieval of biomedical images in this paper. A local bit-plane …
Diagnosis of benign and malignant thyroid nodules using combined conventional ultrasound and ultrasound elasticity imaging
P Qin, K Wu, Y Hu, J Zeng… - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Ultrasonography is one of the main imaging methods for diagnosing thyroid nodules.
Automatic differentiation between benign and malignant nodules in ultrasound images can …
Automatic differentiation between benign and malignant nodules in ultrasound images can …
Deep feature extraction and classification of breast ultrasound images
Controlled despeckling (structure/edges/feature preservation with smoothing the
homogeneous areas) is a desired pre-processing step for the design of computer-aided …
homogeneous areas) is a desired pre-processing step for the design of computer-aided …