E‐Commerce Logistics Path Optimization Based on a Hybrid Genetic Algorithm

D Yang, P Wu - Complexity, 2021 - Wiley Online Library
Based on the problem of e‐commerce logistics and distribution network optimization, this
paper summarizes the solution ideas and solutions proposed by domestic and foreign …

Diagnosis of cancer using hybrid clustering and convolution neural network from breast thermal image

AS Lakshminarayanan… - … of Testing and …, 2019 - asmedigitalcollection.asme.org
Breast cancer is a tumor caused by the excessive growth of cells in the breast tissue or near
the region of the breast. Breast cancer is most commonly found among women, and it starts …

Classification of breast cancer based on thermal image using support vector machine

SL Aarthy, S Prabu - International Journal of Bioinformatics …, 2019 - inderscienceonline.com
Advancement in computer aided diagnosis system enhances the detection competency of
domain expert and reduces the time in decision making. The objective of this paper is to …

MRI images segmentation using improved spatial FCM clustering and pillar algorithms

B Beddad, K Hachemi… - International Journal of …, 2021 - inderscienceonline.com
The segmentation of brain tissue from MRI images is a vast subject of study, a critical task
and a very important issue for different medical applications; however, its numerous …

RETRACTED ARTICLE: Topic flexible aspect based sentiment analysis using minimum spanning tree with Cuckoo search

I Mohan, M Moorthi - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
A study by which the opinions, emotions, evaluations, appraisals, and sentiments of people
towards different entities is expressed in the form of a text is called Sentiment Analysis (SA) …

Automated methodology for breast segmentation and mammographic density classification using co-occurrence and statistical and SURF descriptors

RP Junior, JCL Fernandes, APD Silva… - International …, 2022 - inderscienceonline.com
This paper presents a fully automated methodology for segmenting and classifying
mammographic images. We developed a new set of descriptors for determination of breast …

An efficient multiangle weight updated Haralick and relevance vector machine algorithm for classifying diabetic foot from medical thermal image

MPS Gopinath, S Prabu - Journal of Testing …, 2019 - asmedigitalcollection.asme.org
Skin temperature assessment has gained attention in recent years for its ability to detect
diabetes-related foot complications. Early detection of the complications can prevent …

[Retracted] The Clinical Value of CT Scans for the Early Diagnosis and Treatment of Spinal Fractures and Paraplegia

P Jia, S Zhu, L Guo - Journal of Healthcare Engineering, 2021 - Wiley Online Library
The early diagnosis and treatment of spinal fractures and paraplegia by CT scan is
investigated in depth and its clinical value is discussed in this paper. In this paper, a novel …

Application of Liver CT Image Based on Sueno Fuzzy C-Means Graph Cut and Genetic Algorithm in Feature Extraction and Classification of Liver Cancer

R Huang, Y Zhang, R Liu, Z Song… - Journal of Medical …, 2021 - ingentaconnect.com
This paper is based on the problem of a high miss-detection error rate of liver CT images
based on SFCM graph cut combined genetic algorithm, improves faster and proposes a new …

A Transdisciplinary Approach to Classify Thyroid Levels in Patients

S Radhakrishnan… - … of Testing and …, 2019 - asmedigitalcollection.asme.org
Data mining is one of the most promising areas of research that has become increasingly
popular in health care. The objective of this research article is to elucidate a transdisciplinary …