AIMC Topic: Deep Learning

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Brain Tumor Detection using Deep Learning Approach.

Neurology India
Early detection of brain tumor has an important role in further developing therapeutic outcomes, and hence functioning in endurance tolerance. Physically evaluating the various reversion imaging (magnetic resonance imaging [MRI]) images that are regu...

Classification of Histopathological Images from Breast Cancer Patients Using Deep Learning: A Comparative Analysis.

Critical reviews in biomedical engineering
Cancer, a leading cause of mortality, is distinguished by the multi-stage conversion of healthy cells into cancer cells. Discovery of the disease early can significantly enhance the possibility of survival. Histology is a procedure where the tissue o...

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Accurate extraction of coronary arteries from invasive coronary angiography (ICA) images is essential for the diagnosis and risk stratification of coronary artery disease (CAD).

[Early Prediction of Support Necessity for Pharmacy Clinical Internship Using Deep Learning].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
The duration of undergraduate study was extended in 2006 to six years for pharmaceutical education aimed at training highly qualified pharmacists. Clinical internship in current pharmaceutical education is positioned as being important for fostering ...

Deep learning classifiers for computer-aided diagnosis of multiple lungs disease.

Journal of X-ray science and technology
BACKGROUND: Computer aided diagnosis has gained momentum in the recent past. The advances in deep learning and availability of huge volumes of data along with increased computational capabilities has reshaped the diagnosis and prognosis procedures.

Performance of deep learning in classifying malignant primary and metastatic brain tumors using different MRI sequences: A medical analysis study.

Journal of X-ray science and technology
BACKGROUND: Malignant Primary Brain Tumor (MPBT) and Metastatic Brain Tumor (MBT) are the most common types of brain tumors, which require different management approaches. Magnetic Resonance Imaging (MRI) is the most frequently used modality for asse...

Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture.

Journal of cancer research and therapeutics
AIM: Current radiotherapy treatment techniques require a large amount of imaging data for treatment planning which demand significant clinician's time to segment target volume and organs at risk (OARs). In this study, we propose to use U-net-based ar...

Review on Deep Learning-Based CAD Systems for Breast Cancer Diagnosis.

Technology in cancer research & treatment
Breast Cancer (BC) is a major health issue in women of the age group above 45. Identification of BC at an earlier stage is important to reduce the mortality rate. Image-based noninvasive methods are used for early detection and for providing appropri...