ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition

A Systematic Literature Review on Mammography: Deep Learning in Redefining Breast Cancer Diagnosis for the Asian Perspective

“…Inception-v3 improved the model by using factorised convolutions and dimension reductions. (Babu and Jerome, 2022;Mahmood et al, 2022;Shen et al, 2020;Wang et al, 2019;Zhang et al, 2021a), (Albalawi et al, 2022;Cai et al, 2021;Chandraraju and Jeyaprakash, 2022;Gargouri et al, 2022;George Melekoodappattu et al, 2022;Jones et al, 2023;Kurek et al, 2018;Mahmoud et al, 2021;Mokni and Haoues, 2022;Patil and Biradar, 2021;Patil et al, 2022;Razali et al, 2023a;Sajid et al, 2023;Shivhare and Saxena, 2022;Arputham et al, 2021;Chouhan et al, 2021;Chugh et al, 2022;Ramesh et al, 2022;Sivakrithika and Dinakaran, 2018;Ranjbarzadeh et al, 2023a;Song et al, 2020;Yu et al, 2023c;Elmoufidi, 2022;Hosni Mahmoud et al, 2022) (Babu andJerome, 2022), (Razali et al, 2023a;Arputham et al, 2021;Chouhan et al, 2021) (Mahmood et al, 2022;Shen et al, 2020;Wang et al, 2019;Zhang et al, 2021a), (Albalawi et al, 2022;Razali e...…”

“…This innovation incorporates several independent paths inside a block using grouped convolutions. (Gnanasekaran et al, 2020;Joseph et al, 2024;Tsai et al, 2022), (Guan and Loew, 2019;Wang and Yang, 2018;Arputham et al, 2021;Chugh et al, 2022;Al-Antari et al, 2018a;Kurek et al, 2018;Thirunavukkarasu et al, 2022;Albalawi et al, 2022;Gargouri et al, 2022;Karthiga et al, 2022;Jafarzadeh Ghoushchi et al, 2021;AlGhamdi and Abdel-Mottaleb, 2021;Oyelade and Ezugwu, 2022;Kumar and Gudur, 2023;Diniz et al, 2018;El Houby and Yassin, 2021;Guan et al, 2020;Tavakoli et al, 2019;Altan, 2020;Kumar Singh et al, 2022;Duggento et al, 2019;Deb et al, 2023;Gao et al, 2020;Houssein et al, 2022;Patil and Biradar, 2021;Sakthivel et al, 2022a;Raaj, 2023;Sridevi and Samath, 2023;Alfifi et al, 2020;Arora et al, 2020;Ranjbarzadeh et al, 2023a;Wang et al, 2021c;Wimmer et al, 2021;Wu et al, 2019;Zhang et al, 2021bZhang et al, , 2018 It is a custom architecture for the extraction and classification of features. Convolutional layers are typically used to capture spatial features, pooling layers to downsample, and fully conne...…”

“…Convolutional layers are typically used to capture spatial features, pooling layers to downsample, and fully connected layers to classify data. Latest few studies have used dual view CNN (AlGhamdi and Abdel-Mottaleb, 2021;Wu et al, 2019), multi task CNN (Gao et al, 2020;Wimmer et al, 2021), Ad-hoc CNN (Duggento et al, 2019) , stacked ensemble (Deb et al, 2023), stacked sparse encoder (Qiu et al, 2018), randon transform (Raaj, 2023), feature fusion based model (Sridevi and Samath, 2023), cascaded CNN (Ranjbarzadeh et al, 2023a).A feature-sensitive approach improves classification performance by assisting the model to concentrate more on significant scenarios within each one (Wang et al, 2021c), triple network CNN (Merati et al, 2019).…”

The role of blockchain technology in advancing sustainable energy with security settlement: enhancing security and efficiency in China’s security market

“…This challenges legal liability determination under distributed shared records. Under traditional securities settlement systems, securities registration institutions, depositories, central counterparties, settlement cooperation institutions, and service providers have relatively clear responsibilities for registration, custody, clearing, and settlement (Kolohoida et al, 2019;Ranjbarzadeh et al, 2021;Schulhofer-Wohl, 2022;Ranjbarzadeh et al, 2023). Additionally, determining the disputing parties is convenient for court rulings in securities settlement matters.…”

“…During the performance process of smart contracts, "hidden doors" are set up on each computer node to monitor the operation of smart contracts; pressure is exerted on the platform to directly write laws into the code. Second, the smart contract for blockchain has the characteristics of immutability and automatic fulfillment, which makes it difficult to modify the contract (Kolohoida et al, 2019;Ranjbarzadeh et al, 2021;Ranjbarzadeh et al, 2022;Kasgari et al, 2023;Ranjbarzadeh et al, 2023). Currently, a common method is to record the modification of the smart contract in specific situations in the form of code on the blockchain, thereby achieving contract modification.…”