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Field: AI in cancer detection

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

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Nabil Ibtehaz, M. Sohel Rahman

Journal: Neural NetworksYear: 2019
Citations: 2251

In recent years Deep Learning has brought about a breakthrough in Medical Image Segmentation. In this regard, U-Net has been the most popular architecture in the medical imaging community. Despite outstanding overall performance in segmenting multimodal medical images, through extensive experimentat...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

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Md. Zabirul Islam, Md. Milon Islam, Amanullah Asraf

Journal: Informatics in Medicine UnlockedYear: 2020Citations: 623

Nowadays, automatic disease detection has become a crucial issue in medical science due to rapid population growth. An automatic disease detection framework assists doctors in the diagnosis of disease and provides exact, consistent, and fast results and reduces the death rate. Coronavirus (COVID-19)...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework

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Mehedi Masud, Niloy Sikder, Abdullah-Al Nahid, Anupam Kumar Bairagi et al.

Journal: SensorsYear: 2021Citations: 445

The field of Medicine and Healthcare has attained revolutionary advancements in the last forty years. Within this period, the actual reasons behind numerous diseases were unveiled, novel diagnostic methods were designed, and new medicines were developed. Even after all these achievements, diseases l...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models

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Md Shahin Ali, Md Sipon Miah, Jahurul Haque, Mahbubur Rahman et al.

Journal: Machine Learning with ApplicationsYear: 2021Citations: 401

Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is getting increased speedily. There exist some researches for the computerized analysis of malignancy in skin lesion images. ...

Health SciencesMedicineOncologyOpen Access
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Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques

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Md. Milon Islam, Md. Rezwanul Haque, Hasib Iqbal, Md. Munirul Hasan et al.

Journal: SN Computer ScienceYear: 2020Citations: 349
Physical SciencesComputer ScienceArtificial Intelligence
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Structured crowdsourcing enables convolutional segmentation of histology images

Verified

Mohamed Amgad, Habiba Elfandy, Hagar Hussein, Lamees A Atteya et al.

Journal: BioinformaticsYear: 2019Citations: 313

MOTIVATION: While deep-learning algorithms have demonstrated outstanding performance in semantic image segmentation tasks, large annotation datasets are needed to create accurate models. Annotation of histology images is challenging due to the effort and experience required to carefully delineate ti...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

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Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter et al.

Journal: Expert Systems with ApplicationsYear: 2022Citations: 296

Cancer is a fatal disease caused by a combination of genetic diseases and a variety of biochemical abnormalities. Lung and colon cancer have emerged as two of the leading causes of death and disability in humans. The histopathological detection of such malignancies is usually the most important comp...

Physical SciencesComputer ScienceArtificial Intelligence
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An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System

Verified

Krishna Mridha, Md. Mezbah Uddin, Jungpil Shin, Susan Khadka et al.

Journal: IEEE AccessYear: 2023Citations: 206

Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces challenges such as long waiting times and subjective interpretations. Deep learning techniques have been devel...

Health SciencesMedicineOncologyOpen Access
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Prediction of breast cancer using support vector machine and K-Nearest neighbors

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Md. Milon Islam, Hasib Iqbal, Md. Rezwanul Haque, Md. Kamrul Hasan

Year: 2017Citations: 206

Breast Cancer is one of the most exquisite and internecine disease among all of the diseases in medical science. It is one of the crucial reasons of death among the females all over the world. We present a novel modality for the prediction of breast cancer and introduces with the Support Vector Mach...

Physical SciencesComputer ScienceArtificial Intelligence
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Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

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Aditya Khamparia, Subrato Bharati, Prajoy Podder, Deepak Gupta et al.

Journal: Multidimensional Systems and Signal ProcessingYear: 2021Citations: 199

Breast cancer is a common cancer in women. Early detection of breast cancer in particular and cancer, in general, can considerably increase the survival rate of women, and it can be much more effective. This paper mainly focuses on the transfer learning process to detect breast cancer. Modified VGG ...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Gland Instance Segmentation Using Deep Multichannel Neural Networks

Verified

Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu et al.

Journal: IEEE Transactions on Biomedical EngineeringYear: 2017Citations: 183

Objective: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not only need to be segmented from a complex background, they must also be individually identified. Methods: We leverage th...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning

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Nur-A-Alam Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider et al.

Journal: SensorsYear: 2021Citations: 181

Currently, COVID-19 is considered to be the most dangerous and deadly disease for the human body caused by the novel coronavirus. In December 2019, the coronavirus spread rapidly around the world, thought to be originated from Wuhan in China and is responsible for a large number of deaths. Earlier d...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images

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Kabid Hassan Shibly, Samrat Kumar Dey, Md Tahzib-Ul Islam, Md Mahbubur Rahman

Journal: Informatics in Medicine UnlockedYear: 2020Citations: 159

COVID-19 or novel coronavirus disease, which has already been declared as a worldwide pandemic, at first had an outbreak in a large city of China, named Wuhan. More than two hundred countries around the world have already been affected by this severe virus as it spreads by human interaction. Moreove...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods

Verified

Juan Shan, S. Kaisar Alam, Brian S. Garra, Yingtao Zhang et al.

Journal: Ultrasound in Medicine & BiologyYear: 2016Citations: 156

This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs categories were designed and tested using a database of ...

Physical SciencesComputer ScienceArtificial Intelligence
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DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation

Verified

Md. Kamrul Hasan, Md. Toufick E Elahi, Md. Ashraful Alam, Md. Tasnim Jawad et al.

Journal: Informatics in Medicine UnlockedYear: 2022Citations: 155

Although automated Skin Lesion Classification (SLC) is a crucial integral step in computer-aided diagnosis, it remains challenging due to variability in textures, colors, indistinguishable boundaries, and shapes. This article proposes an automated dermoscopic SLC framework named Dermoscopic Expert (...

Health SciencesMedicineOncologyOpen Access
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