AIMC Topic: Algorithms

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Pattern Classification for Ovarian Tumors by Integration of Radiomics and Deep Learning Features.

Current medical imaging
BACKGROUND: Ovarian tumor is a common female genital tumor, among which malignant tumors have a poor prognosis. The survival rate of 70% of patients with ovarian cancer is less than 5 years, while benign ovarian tumor is better, so the early diagnosi...

Can artificial intelligence improve cancer treatments?

Health informatics journal
Artificial intelligence (AI) powered by the accumulating clinical and molecular data about cancer has fueled the expectation that a transformation in cancer treatments towards significant improvement of patient outcomes is at hand. However, such tran...

Machine Learning-driven Protein Library Design: A Path Toward Smarter Libraries.

Methods in molecular biology (Clifton, N.J.)
Proteins are small yet valuable biomolecules that play a versatile role in therapeutics and diagnostics. The intricate sequence-structure-function paradigm in the realm of proteins opens the possibility for directly mapping amino acid sequence to fun...

Genome-Enabled Prediction Methods Based on Machine Learning.

Methods in molecular biology (Clifton, N.J.)
Growth of artificial intelligence and machine learning (ML) methodology has been explosive in recent years. In this class of procedures, computers get knowledge from sets of experiences and provide forecasts or classification. In genome-wide based pr...

Differentiable Visual Computing: Challenges and Opportunities.

IEEE computer graphics and applications
Classical algorithms typically contain domain-specific insights. This makes them often more robust, interpretable, and efficient. On the other hand, deep-learning models must learn domain-specific insight from scratch from a large amount of data usin...

Spark plug defects detection based on improved Faster-RCNN algorithm.

Journal of X-ray science and technology
The objective of this study is to apply an improved Faster-RCNN model in order to solve the problems of low detection accuracy and slow detection speed in spark plug defect detection. In detail, an attention module based symmetrical convolutional net...

Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images.

Health informatics journal
The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during pregnancy. This study aims to classify the umbilical cord based on ultrasound images. The similarity of shape and coil between each class becomes a challe...

Method for identifying the impact load condition of thin-walled structure damage based on PSO-BP neural network.

Science progress
Thin-walled structures (TWS) were widely used in engineering equipment, and may be subjected to impact loads to produce different degrees of structural damage during application. However, it is a difficult problem to determine the impact load conditi...

Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies.

mAbs
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs) are tremendous, the design and discovery of new candidates remain a time and cost-intensive endeavor. In this regard, progress in the generation of data describi...