Tri-texture feature extraction and region growing-level set segmentation in breast cancer diagnosis

Aarthy, S. L.; Prabu, S. Senthur

doi:10.1504/ijbet.2018.089958

Cited by 6 publications

(1 citation statement)

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“…e trabeculae are surrounded by fatty tissue and hematopoietic space, which includes the bone marrow [5]. Although AS with spinal fracture is not a complication, the trauma that causes the fracture is often mild, even without obvious trauma, so it is easily missed or misdiagnosed clinically, and when missed or misdiagnosed, it can often lead to serious consequences such as nerve damage [6]. Routine x-ray, CT, and MRI have their advantages and disadvantages for the diagnosis of AS with spinal fracture.…”

Section: Introductionmentioning

confidence: 99%

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

Jia

Zhu

Guo

2021

Journal of Healthcare Engineering

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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 circulatory generation adversarial network, Spine-GAN, is proposed for the diagnosis of various spinal diseases. The algorithmic model can fully automate the segmentation and classification of multiple spinal structures, such as intervertebral discs, vertebrae, and neuroforamina, simultaneously to intelligently generate a complete clinical diagnosis. The innovation of this method is that Spine-GAN not only overcomes the high variability and complexity of spinal structures in MRI images but also preserves the subtle differences between normal and abnormal spinal structures and dynamically learns obscure but important spatial pathological relationships between adjacent structures of the spine, thus overcoming the limitations of small datasets. Spine-GAN enables accurate segmentation, radiological classification, and pathological correlation representation of the three spinal diseases. Specifically, Spine-GAN achieves a pixel accuracy of 96.2% with a specificity and sensitivity distribution of 89.1% and 86%, respectively. The DMML-Net and Spine-GAN algorithm models have important applications and research values in the clinical diagnosis of spinal diseases and MRI image processing, as well as in the intelligent generation of medical image diagnostic reports, which are of great importance for the study of fine-grained image classification of pathological images. It also has a positive impact on the development of the software.

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Section: Introductionmentioning

confidence: 99%

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

Jia

Zhu

Guo

2021

Journal of Healthcare Engineering

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

Mohan

Moorthi

2020

J Ambient Intell Human Comput

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

Yang

2021

Complexity

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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 scholars and designs a method to optimize the B2C e-commerce logistics and distribution network by taking into account the special traffic conditions in the city. The logistics network optimization model is established and solved by combining various methods. Taking into account the new target requirements constantly proposed in the modern logistics environment, the vehicle path problem under the generalized objective function is studied, and the multidimensional impact maximization problem in this type of problem is proposed and modeled. The problem follows from the path planning for emergency material delivery. Given locations, roads, and multiple classes of supplies in a map, each road allows vehicles to deliver each class of supplies with a certain probability. The goal of the problem is how to select a finite number of locations in the map as centers of supplies so that the number of locations that can be effectively covered by vehicle paths from them is maximized with the desired probability. For the first time, we used a hybrid genetic algorithm to optimize the e-commerce logistics path, and the optimized results are more reasonable than other algorithms.

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Tri-texture feature extraction and region growing-level set segmentation in breast cancer diagnosis

Cited by 6 publications

References 0 publications

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

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

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

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

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