Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms

Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms

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

Opis bibliograficzny
Główni autorzy:	Al Mamun, Rafsan, Rafin, Gazi Abu, Alam, Adnan, Sefat, MD. Al Imran
Kolejni autorzy:	Bin Ashraf, Faisal
Format:	Praca dyplomowa
Język:	en_US
Wydane:	Brac University 2022
Hasła przedmiotowe:	Breast cancer Malignant Benign Mammogram CAD model Convolutional neural network Convolution layer Overfitting MIAS database Accuracy Precision Recall F1 ROC Curve AUC Neural networks (Computer science) Early Detection of Cancer > methods.
Dostęp online:	http://hdl.handle.net/10361/17172

Podobne zapisy

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
od: Shafique, Nadia, i wsp.
Wydane: (2023)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
od: Bhuiyan, Mazedul Haque, i wsp.
Wydane: (2021)

Detection of skin cancer using Convolutional neural network
od: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, i wsp.
Wydane: (2020)

Crime scene prediction by detecting threatening objects using convolutional neural network
od: Nakib, Mohammad, i wsp.
Wydane: (2017)

Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
od: Khan, Shama, i wsp.
Wydane: (2024)

Benign Prostatic Hyperplasia & Prostate Cancer: a review on the treatment strategies
od: Alam, Tahera
Wydane: (2024)

Visual object recognition using deep convolutional neural network
od: Ahmed, Sabbir
Wydane: (2017)

Breast cancer awareness seminars
od: Anwer Khan Modern Medical College
Wydane: (2016)

A system to prevent social violence using convolutional neural network
od: Akter, Sanzida, i wsp.
Wydane: (2023)

Recent advancement on breast cancer detection and treatment
od: Rahman, Sanjida
Wydane: (2023)

Natural products and their combinatory effects in breast cancer treatment
od: Siddique, Md. Ayman
Wydane: (2021)

Bangla license plate recognition using convolutional neural networks (CNN)
od: Rahman, M M Shaifur
Wydane: (2018)

Pooled analysis of progression-free survival and overall survival in phase II clinical trials of breast cancer
od: Shobnam, Sohana
Wydane: (2024)

Targeted therapeutic options in the treatment of Breast Cancer
od: Alam, Kazi Tasnuva
Wydane: (2022)

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

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i wsp.
Wydane: (2023)

Pneumonia Disease detection using the convolutional neural network
od: Ashrafee, Md. Iftid, i wsp.
Wydane: (2024)

Precision medicine in four deadliest Cancers of the world : present practices & future prospects
od: Islam, Ankita
Wydane: (2022)

A review of Breast Cancer risk factor assessment on women in developing countries, cancer drug resistance, and Breast Cancer treatment in Bangladesh
od: Raihan, Dilraj
Wydane: (2024)

Leaf classification by feature extraction using CNN
od: Bhuiyan, Md. Mazharul Islam, i wsp.
Wydane: (2020)

Best feature selection and data visualization for breast cancer prediction
od: Hemel, Tanjim Ahmed, i wsp.
Wydane: (2020)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
od: Sarwar, Arafat, i wsp.
Wydane: (2023)

An enhanced CNN model for classifying skin cancer
od: Haider, Kazi MD Minhajul, i wsp.
Wydane: (2022)

The impact of breast cancer on women’s lives in Bangladesh
od: Mobashera, Tayeeba Tum
Wydane: (2024)

Comparison of conventional doxorubicin with liposome encapsulated doxorubicin as a treatment of breast cancer-a review
od: Akter, Honufa
Wydane: (2024)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
od: Ishrak, Gazi Hasin, i wsp.
Wydane: (2022)

Comparison of deep transfer learning models for cancer diagnosis
od: Joya, Nadia Islam, i wsp.
Wydane: (2023)

A review on triple-negative breast cancer and its potential treatment
od: Niasa, Jannatul Ferdous
Wydane: (2023)

Skin cancer classification for seven types of skin lesions
od: Rahman, Md. Tawsifur, i wsp.
Wydane: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
od: Ferdous, Md.Rubaiat, i wsp.
Wydane: (2024)

Semantic text extraction from CAPTCHA using Neural Networking
od: Chowdhury, Iftekhar Kabir, i wsp.
Wydane: (2022)

Drug repurposing: potential of Antimicrobial Drugs in Breast Cancer Treatment
od: Chakraborty, Anuradha
Wydane: (2024)

Bone age comparison using convolutional neural network
od: Nawaz, Fariha, i wsp.
Wydane: (2019)

Detection of handwritten text using convolutional neural network
od: Jasim, Rabib Bin, i wsp.
Wydane: (2024)

Machine learning as an indicator for breast cancer prediction
od: Shadman, Tahsin Mohammed, i wsp.
Wydane: (2019)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
od: Ifty, Md. Hasin Sarwar, i wsp.
Wydane: (2024)

X-Ray classification to detect COVID-19 using ensemble model
od: Solaiman, Ishmam Ahmed, i wsp.
Wydane: (2021)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
od: Mahbub, Riasat, i wsp.
Wydane: (2022)

Breast cancer in low-resource settings: Prioritizing the awareness and access programmes to overcome sociocultural and economic barriers for early detection and improved outcomes
od: Iqbal, Mohammad Shamim, i wsp.
Wydane: (2017)