Leukemia Image Segmentation Using a Hybrid Histogram|Based ...

Leukemia Image Segmentation Using a Hybrid Histogram-Based ...

Segmenting an image of a nucleus is one of the most essential tasks in a leukemia diagnostic system. Accurate and rapid segmentation methods ...

Leukemia Image Segmentation Using a Hybrid Histogram-Based ...

Leukemia Image Segmentation Using a Hybrid Histogram-Based Soft Covering Rough K-Means Clustering Algorithm. Language: English; Authors: Inbarani H., Hannah1 ...

Leukemia Image Segmentation Using a Hybrid Histogram-Based ...

Mentioning: 25 - Segmenting an image of a nucleus is one of the most essential tasks in a leukemia diagnostic system. Accurate and rapid segmentation ...

[PDF] Leukemia Image Segmentation Using a Hybrid Histogram ...

DOI:10.3390/electronics9010188; Corpus ID: 210877480. Leukemia Image Segmentation Using a Hybrid Histogram-Based Soft Covering Rough K-Means Clustering ...

Leukemia Image Segmentation Using a Hybrid Histogram-Based ...

... this article, a novel hybrid histogram-based soft covering rough k-means clustering (HSCRKM) algorithm for leukemia nucleus image segmentation is dis…

Leukemia Nucleus Image Segmentation Using Covering-Based ...

Recently, hybrid clustering algorithms have started being widely used for image segmentation in medical image processing. In this article, a ...

A hybrid cell image segmentation method based on the multilevel ...

The objective is achieved with the computational methods, which are classified into four different categories, boundary-based cell detection, pattern-based ...

A hybrid detection model for acute lymphocytic leukemia using ...

Automatic detection of acute lymphoblastic leukemia using UNET based segmentation and statistical analysis of fused deep features. Appl ...

Automatic Leukaemia Segmentation Approach for Blood Cancer ...

We then developed a cancer classification model from the microscopic image using a CNN based on the proposed hybrid segmentation technique. It gives an in ...

A Hybrid Feature Fusion Deep Learning Framework for Leukemia ...

... based on CNN with 42 layers, which is used for image classification. It is developed by Google, has a high image classification performance.

Article Versions Notes - MDPI

Leukemia Image Segmentation Using a Hybrid Histogram-Based Soft Covering Rough K-Means Clustering Algorithm. Electronics 2020, 9, 188. https://doi.org ...

A Chronological Overview of Using Deep Learning for Leukemia ...

... image processing and ... Autonomous leukemia detection scheme based on hybrid convolutional neural network model using learning algorithm.

Explainable CAD System for Classification of Acute Lymphoblastic ...

... image segmentation using multiple segmentation models. Combining the ... based losses to handle class imbalanced medical image segmentation.

Acute lymphoblastic leukemia prediction using covering-oriented ...

In this study, hybrid clustering based segmentation methods Covering-orientedRough K-Means (CRKM) algorithm is proposed to segment the image ...

Color-Based Hybrid Modeling to Classify the Acute Lymphoblastic ...

Khosrosereshki and M. B. Menhaj, “A fuzzy based classifier for diagnosis of acute lymphoblastic leukemia using blood smear image processing”, In ...

Acute lymphoblastic leukemia image segmentation driven by ...

The Stochastic Fractal Search (SFS) algorithm is implemented in order to provide non-false positive segmented outcomes for Leukemia identification and is ...

A Deep Learning Framework for Leukemia Cancer Detection in ...

... leukemia disease detection using microscopic blood samples–based image modality. The feature representation at every layer of feature ...

Automatic Detection of Acute Lymphoblastic Leukemia Using UNET ...

All the images are resized without compromising the quality of the image (Kumar et al. Citation2020). UNET Based Segmentation. Usually, ...

Refinement of ensemble strategy for acute lymphoblastic leukemia ...

... lymphoblastic leukemia microscopic images using hybrid CNN-GRU ... image segmentation using fuzzy c means for leukemia diagnosis. Int J ...

An attention-based deep learning for acute lymphoblastic leukemia ...

Without employing image segmentation or feature extraction, which require laborious computations, Anilkumar et al. classified ALL using Deep ...