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Soybean Pods and Stems Segmentation Based on an Improved Watershed
The technology of object detection based on image processing is the fundamental and significant link in the research of automatic accurate detection...
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A Brain Tumor Segmentation and Detection Technique Based on Birch and Marker Watershed
Today, image segmentation plays a vital role in many crucial areas. This paper will cover the important role that image segmentation plays in medical...
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Improved Watershed Segmentation and DualNet Deep Learning Classifiers for Breast Cancer Classification
Breast cancer is a deadly, noncommunicable disease that affects women worldwide. Early detection is crucial in providing effective treatment and...
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A Study of the Usability and Experience of Public Space in Rural Watershed Environments
As a place frequently accessed by residents and tourists, the public space of rural watershed environment, with its good performance of availability...
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A Chromosome Segmentation Method Based on Corner Detection and Watershed Algorithm
Karyotype analysis is an effective tool for chromosome disease diagnosis, and the number and morphological characteristics of chromosomes can be...
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Image segmentation with boundary-to-pixel direction and magnitude based on watershed and attention mechanism
An improved image segmentation algorithm with boundary-to-pixel direction and magnitude (IS-BPDM) is proposed to deal with small regions segmentation...
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Medical image watermarking based on novel encoding for EHR and fusion based morphological watershed segmentation algorithm for medical images
Advancement in the field of healthcare system, the identification of the infection with severity impact of a particular disease may be easily done...
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Watershed based algorithms for the segmentation of spine MRI
The proposed work implements and discusses the three watershed-based algorithms for the segmentation of Intervertebral disc (IVD). Among these...
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Boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Correction
To solve the problem of boarding pass positioning with image tilt and sticking, we proposed a jointly boarding pass positioning and correction...
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Semi-automatic Labeling of Satellite Images Using Texture Features and Hough Circle Transformation
In order to extract valuable ground information from images, supervised classification is an extensively adopted technique. However, it has a...
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Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds
In this study, image segmentation technology is utilized for segmentation of tea leaves and tender buds and deep learning technology is introduced...
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Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach
In Healthcare systems, Breast Cancer is the second most vital cause of mortality among women. If it’s not detected in the early stages, chances of...
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Optimization of segmentation model based on maximization information fusion and its application in nuclear image analysis
The Whole Slide Image (WSI) is a pathological image with Hematoxylin & Eosin staining. The low-contrast color staining will bring a challenge on...
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A Deep Learning Approach to Segment High-Content Images of the E. coli Bacteria
High-content imaging (HCI) has been used to study antimicrobial resistance in bacteria. Although cell segmentation is critical for accurately...
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A Novel Artificial Intelligence System for the Prediction of Interstitial Lung Diseases
Interstitial lung disease (ILD) encompasses a spectrum of more than 200 fatal lung disorders affecting the interstitium, contributing to substantial...
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HCCNet Fusion: a synergistic approach for accurate hepatocellular carcinoma staging using deep learning paradigm
Hepatocellular carcinoma (HCC) stands as the second most prevalent cancer and a leading cause of cancer-related mortality globally, necessitating...
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On the use of machine learning to account for reservoir management rules and predict streamflow
This study aims to develop a Machine Learning (ML)-based technique to infer reservoir management rules and predict downstream discharge values. The...
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DEEPFIC: food item classification with calorie calculation using dragonfly deep learning network
Nowadays, many people are suffered from obesity, they tend to maintain their body weight by consuming a sufficient number of calories in their...
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Machine learning for enumeration of cell colony forming units
As one of the most widely used assays in biological research, an enumeration of the bacterial cell colonies is an important but time-consuming and...
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Study and analysis of different segmentation methods for brain tumor MRI application
Medical Resonance Imaging (MRI) is one of the preferred imaging methods for brain tumor diagnosis and getting detailed information on tumor type,...
