AIMC Topic: Neural Networks, Computer

Clear Filters Showing 28511 to 28520 of 31376 articles

Paragraph-antibody paratope prediction using graph neural networks with minimal feature vectors.

Bioinformatics (Oxford, England)
SUMMARY: The development of new vaccines and antibody therapeutics typically takes several years and requires over $1bn in investment. Accurate knowledge of the paratope (antibody binding site) can speed up and reduce the cost of this process by impr...

Prediction of Cancer Treatment Using Advancements in Machine Learning.

Recent patents on anti-cancer drug discovery
Many cancer patients die due to their treatment failing because of their disease's resistance to chemotherapy and other forms of radiation therapy. Resistance may develop at any stage of therapy, even at the beginning. Several factors influence curre...

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

Current medical imaging
BACKGROUND: The techniques differed in many of the literature on the detection of Acute Lymphocytic Leukemia from the blood smear pictures, as the cases of infection in the world and the Kingdom of Saudi Arabia were increasing and the causes of this ...

Detection of Ningnanmycin Using Fluorescence Spectroscopy Combined with BP Neural Network.

Combinatorial chemistry & high throughput screening
BACKGROUND: Ningnanmycin is a new antibiotic pesticide with good bactericidal and antiviral efficacy, which is widely used in the control of fruit and vegetable diseases, and the excessive pesticide residues pose a serious threat to the environment a...

Review on Deep Learning Methodologies in Medical Image Restoration and Segmentation.

Current medical imaging
This paper comprehensively reviews two major image processing tasks, such as restoration and segmentation in the medical field, from a deep learning perspective. These processes are essential because restoration removes noise and segmentation extract...

[A generative adversarial network-based unsupervised domain adaptation method for magnetic resonance image segmentation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Intelligent medical image segmentation methods have been rapidly developed and applied, while a significant challenge is domain shift. That is, the segmentation performance degrades due to distribution differences between the source domain and the ta...

[Single-channel electroencephalogram signal used for sleep state recognition based on one-dimensional width kernel convolutional neural networks and long-short-term memory networks].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Aiming at the problem that the unbalanced distribution of data in sleep electroencephalogram(EEG) signals and poor comfort in the process of polysomnography information collection will reduce the model's classification ability, this paper proposed a ...

Applying Image-Based Food-Recognition Systems on Dietary Assessment: A Systematic Review.

Advances in nutrition (Bethesda, Md.)
Dietary assessment can be crucial for the overall well-being of humans and, at least in some instances, for the prevention and management of chronic, life-threatening diseases. Recall and manual record-keeping methods for food-intake monitoring are a...

[Prediction of respiratory motion based on sequential embedding combined with relational embedding].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVE: To propose a deep learning model for modeling and prediction of the integration of respiratory motion in all directions.

Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information.

Neural computation
A deep neural network is a good task solver, but it is difficult to make sense of its operation. People have different ideas about how to interpret its operation. We look at this problem from a new perspective where the interpretation of task solving...