Early detection of cervical cancer using deep neural networks

Early detection of cervical cancer using deep neural networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliographische Detailangaben
Hauptverfasser:	Akhund, Atoshi, Ahmad, Saad, Taki, Sarwar Siddiqui
Weitere Verfasser:	Alam, Md. Ashraful
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	Cervical cancer HPV Precancerous lesions Cervix image Deep neural network VGG ResNet Inception Neural networks (Computer science) Cervix uteri > Cancer > Diagnosis
Online Zugang:	http://hdl.handle.net/10361/18093

Ähnliche Einträge

Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
von: Faisal, Shah
Veröffentlicht: (2024)

Decoding the functional roles of intronic microRNA miR-2355 and its host gene KLF7 in immunobiology of cervical cancer
von: Samia, Nure Sharaf Nower
Veröffentlicht: (2021)

Review on cervical cancer: effective vaccination project
von: Humayra, Ayonti
Veröffentlicht: (2024)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
von: Bhuiyan, Mazedul Haque, et al.
Veröffentlicht: (2021)

Awareness of cervical cancer vaccination among educated females: a Bangladeshi perspective
von: Taniya, Sumaiya Akter
Veröffentlicht: (2023)

A review on the socio-demographic and cultural factors associated with the delayed diagnosis of cervical cancer and possible interventions in screening attitude: From South Asian perspective
von: Tarannum, Nafisa, et al.
Veröffentlicht: (2023)

Skin cancer classification for seven types of skin lesions
von: Rahman, Md. Tawsifur, et al.
Veröffentlicht: (2024)

Skin lesion classification using different CNN models
von: Oli, Md. Yahea Sultan
Veröffentlicht: (2023)

Covid-19 infected lung detection using machine learning
von: Islam, Md. Muntaha, et al.
Veröffentlicht: (2022)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
von: Saad-Ul-Kabir, Syed, et al.
Veröffentlicht: (2021)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
von: Akhter, Nasrin
Veröffentlicht: (2023)

An Efficient deep learning approach to detect Brain Tumor using MRI images
von: Islam, Annur Tasnim, et al.
Veröffentlicht: (2022)

Bone age comparison using convolutional neural network
von: Nawaz, Fariha, et al.
Veröffentlicht: (2019)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
von: Shahriar, Farhan, et al.
Veröffentlicht: (2021)

Tomato leaf disease detection using convolutional neural network
von: Hasan, Md. Riazul, et al.
Veröffentlicht: (2023)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
von: Khan, Farhan Sakib, et al.
Veröffentlicht: (2022)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
von: Rahman, Afridi Ibn, et al.
Veröffentlicht: (2022)

Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
von: Khan, Afsana, et al.
Veröffentlicht: (2022)

Smoke detection using deep Convolutional neural network
von: Niloy, Wahidul Hasan, et al.
Veröffentlicht: (2021)

Speech command classification based on deep neural networks
von: Hossain, Md. Sakib, et al.
Veröffentlicht: (2023)

Detecting brain tumor using deep neural networks from MRI images
von: Imamuzzaman, A.S.M., et al.
Veröffentlicht: (2021)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
von: Choudhury, Prionto Kumar, et al.
Veröffentlicht: (2024)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
von: Awwal, Alvina, et al.
Veröffentlicht: (2021)

DenseNet based skin lesion classification and melanoma detection
von: Munaf, Arifuzzaman, et al.
Veröffentlicht: (2021)

An efficient face recognition model using multiple angular images and deep neural network architecture
von: Subah, Silma, et al.
Veröffentlicht: (2024)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
von: Haque, Abid Hossain, et al.
Veröffentlicht: (2024)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
von: Khisa, Pushpakali, et al.
Veröffentlicht: (2024)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
von: Sarwar, Arafat, et al.
Veröffentlicht: (2023)

Survey on patients undergoing treatments for cervical, endometrial and ovarian cancer
von: Nawar, Anika
Veröffentlicht: (2019)

Obscure face recognition using deep neural networks
von: Akash, MD Shahadat Hossain, et al.
Veröffentlicht: (2023)

Early detection of breast cancer using machine learning
von: Fuad, Wasi Mohammad
Veröffentlicht: (2019)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
von: Mashraf, Chowdhury Zerif, et al.
Veröffentlicht: (2021)

A comparative study of lung cancer prediction using deep learning
von: Mugdho, Aka Mohammad, et al.
Veröffentlicht: (2023)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
von: Hossain, Mohammad Sakib, et al.
Veröffentlicht: (2023)

Analyzing students’ concentration in online courses through Webcam
von: Asif, Md., et al.
Veröffentlicht: (2024)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
von: Ismail, Sayem Mohammad, et al.
Veröffentlicht: (2021)

Plant disease detection using convolutional neural network
von: Hossain, Mohammad Shifat, et al.
Veröffentlicht: (2021)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
von: Nag, Pollock, et al.
Veröffentlicht: (2023)

Decipherable classification of glaucoma using deep neural network leveraging XAI
von: Chayan, Touhidul Islam, et al.
Veröffentlicht: (2023)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
von: Moon, Nowrin Tasnim, et al.
Veröffentlicht: (2023)