Leukemia

Modeling of the Acute Lymphoblastic Leukemia Detection by Convolutional Neural Networks (CNNs).

BACKGROUND: The techniques differed in many of the literature on the detection of Acute Lymphocytic ...

One-to-all lightweight Fourier channel attention convolutional neural network for speckle reconstructions.

Speckle reconstruction is a classical inverse problem in computational imaging. Inspired by the memo...

AIM-CICs: an automatic identification method for cell-in-cell structures based on convolutional neural network.

Edited by Luonan Chen Whereas biochemical markers are available for most types of cell death, curren...

Robotic Kidney Transplantation Under Regional Hypothermia.

The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described....

Refining and simplifying decision models-tackling the 'one size fits all' challenge.

Deep Learning Methods for Detecting Side Effects of Cancer Chemotherapies Reported in a Remote Monitoring Web Application.

The objective of our work was to develop deep learning methods for extracting and normalizing patien...

Robust Random Forest-Based All-Relevant Feature Ranks for Trustworthy AI.

Feature selection is a fundamental challenge in machine learning. For instance in bioinformatics, it...

GSEnet: feature extraction of gene expression data and its application to Leukemia classification.

Gene expression data is highly dimensional. As disease-related genes account for only a tiny fractio...

Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.

BACKGROUND: Cirrhosis is the result of advanced scarring (or fibrosis) of the liver, and is often di...

Detection of all-cause advanced hepatic fibrosis using an ensemble machine learning framework.

[Study on parameters of robot-assisted ultrasonic drilling on bovine vertebral body].

To investigate the effect of ultrasonic parameter settings on maximum temperatures in the drilling ...

All-day thin-lens computational imaging with scene-specific learning recovery.

Modern imaging optics ensures high-quality photography at the cost of a complex optical form factor ...

How much can deep learning improve prediction of the responses to drugs in cancer cell lines?

The drug response prediction problem arises from personalized medicine and drug discovery. Deep neur...

ALLD: Acute Lymphoblastic Leukemia Detector.

Acute Lymphoblastic Leukemia (ALL) is a life-threatening type of cancer wherein mortality rate is un...

Prediction of whole-cell transcriptional response with machine learning.

MOTIVATION: Applications in synthetic and systems biology can benefit from measuring whole-cell resp...

Histopathologic and Machine Deep Learning Criteria to Predict Lymphoma Transformation in Bone Marrow Biopsies.

CONTEXT.—: Large cell transformation (LCT) of indolent B-cell lymphomas, such as follicular lymphoma...

Robots to Improve Surgery for All.

Surgeons around the world are now using robot-assisted tech to help them perform minimally invasive ...

A comprehensive evaluation of sexual and reproductive outcomes following robot-assisted retroperitoneal lymph node dissection for nonseminomatous germ cell tumor.

Sexual disorders following retroperitoneal pelvic lymph node dissection (RPLND) for testis tumor can...

Leukemia classification using the deep learning method of CNN.

BACKGROUND: Processing Low-Intensity Medical Images (LI-MI) is difficult as outcomes are varied when...

De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization.

Application of artificial intelligence (AI) in precision oncology typically involves predicting whet...

Impact of Cystic Fibrosis Transmembrane Conductance Regulator Therapy on Chronic Rhinosinusitis and Health Status: Deep Learning CT Analysis and Patient-reported Outcomes.

Elexacaftor, tezacaftor, and ivacaftor (ETI) in triple combination improves pulmonary health for pe...