AIMC Topic: Female

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Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Journal of digital imaging
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide. Regular mammography screening has been attributed with doubling the rate of early cancer detection over the past three decades...

Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis.

Journal of digital imaging
Pretreatment risk stratification is key for personalized medicine. While many physicians rely on an "eyeball test" to assess whether patients will tolerate major surgery or chemotherapy, "eyeballing" is inherently subjective and difficult to quantify...

Minimally invasive surgery in pelvic floor repair.

Current opinion in obstetrics & gynecology
PURPOSE OF REVIEW: To review the use and efficacy of minimally invasive surgery in pelvic organ prolapse (POP) repair. This review summarizes surgical options for management of POP with special emphasis on minimally invasive surgical approach and dis...

Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features.

Journal of neural engineering
OBJECTIVE: Biological and non-biological artifacts cause severe problems when dealing with electroencephalogram (EEG) recordings. Independent component analysis (ICA) is a widely used method for eliminating various artifacts from recordings. However,...

Fully Automated Deep Learning System for Bone Age Assessment.

Journal of digital imaging
Skeletal maturity progresses through discrete phases, a fact that is used routinely in pediatrics where bone age assessments (BAAs) are compared to chronological age in the evaluation of endocrine and metabolic disorders. While central to many diseas...

An evaluation of scanpath-comparison and machine-learning classification algorithms used to study the dynamics of analogy making.

Behavior research methods
In recent years, eyetracking has begun to be used to study the dynamics of analogy making. Numerous scanpath-comparison algorithms and machine-learning techniques are available that can be applied to the raw eyetracking data. We show how scanpath-com...

A soft robotic exosuit improves walking in patients after stroke.

Science translational medicine
Stroke-induced hemiparetic gait is characteristically slow and metabolically expensive. Passive assistive devices such as ankle-foot orthoses are often prescribed to increase function and independence after stroke; however, walking remains highly imp...

Grouped fuzzy SVM with EM-based partition of sample space for clustered microcalcification detection.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Detection of clustered microcalcification (MC) from mammograms plays essential roles in computer-aided diagnosis for early stage breast cancer.

Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.

Oncotarget
Current machine learning techniques provide the opportunity to develop noninvasive and automated glioma grading tools, by utilizing quantitative parameters derived from multi-modal magnetic resonance imaging (MRI) data. However, the efficacies of dif...

[Posterolateral minimal incision, poking reduction, and simple internal fixation in treatment of collapsed fractures of posterolateral tibial plateau].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To explore the effectiveness of limited incision, poking reduction, and simple internal fixation in the treatment of collapsed fractures of the posterolateral tibial plateau.