AIMC Topic: Humans

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Variable Selection for Nonparametric Learning with Power Series Kernels.

Neural computation
In this letter, we propose a variable selection method for general nonparametric kernel-based estimation. The proposed method consists of two-stage estimation: (1) construct a consistent estimator of the target function, and (2) approximate the estim...

When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time.

Neural computation
A significant threat to the recent, wide deployment of machine learning-based systems, including deep neural networks (DNNs), is adversarial learning attacks. The main focus here is on evasion attacks against DNN-based classifiers at test time. While...

[Maturity Onset Diabetes of the Young: case report].

Revista medica del Instituto Mexicano del Seguro Social
BACKGROUND: Maturity Onset Diabetes of the Young (MODY) is a type of diabetes that results from mutations in 13 known genes that play a role in the development and maturation of pancreatic beta cells. It represents 5% of all individuals diagnosed wit...

[Renal graft survival in patients transplanted from organs of deceased donors].

Revista medica del Instituto Mexicano del Seguro Social
BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency of 29% of deceased donor renal transplantation (DDRT). The use of kidneys from deceased elderly donors is increasing over the years. Currently, some a...

Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm.

Asian Pacific journal of cancer prevention : APJCP
Objective: Lung cancer is a type of malignancy that occurs most commonly among men and the third most common type of malignancy among women. The timely recognition of lung cancer is necessary for decreasing the effect of death rate worldwide. Since t...

Brain Tumour Segmentation Using Convolutional Neural Network with Tensor Flow.

Asian Pacific journal of cancer prevention : APJCP
Introduction: The determination of tumour extent is a major challenging task in brain tumour planning and quantitative evaluation. Magnetic Resonance Imaging (MRI) is one of the non-invasive technique has emanated as a front- line diagnostic tool for...

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain.

Journal of visualized experiments : JoVE
Mapping the motor cortex with transcranial magnetic stimulation (TMS) has potential to interrogate motor cortex physiology and plasticity but carries unique challenges in children. Similarly, transcranial direct current stimulation (tDCS) can improve...

Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database.

EBioMedicine
BACKGROUND: Ear and mastoid disease can easily be treated by early detection and appropriate medical care. However, short of specialists and relatively low diagnostic accuracy calls for a new way of diagnostic strategy, in which deep learning may pla...

Detection of Moving Object in Dynamic Visual Sequences Based on Partial Least Squares Classifier.

Journal of medical systems
Detection of moving object from a visual sequence plays a vital role for the tracking of object. The main objective of this proposed work is to detect and classify the various video sequences with the help of different classification algorithms. The ...

Automatic evaluation of fetal head biometry from ultrasound images using machine learning.

Physiological measurement
OBJECTIVE: Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are frequently used to evaluate gestational age and diagnose fetal central nervous system pathology. Because manual measurements ...