Federico Carmignani’s Post

📈Today we share the #Article "Empirical Study of Overfitting in Deep Learning for Predicting Breast Cancer Metastasis" ✍by Chuhan Xu et al. University of Pittsburgh 🔗Find the full paper here: https://lnkd.in/dd62r3Cx Keywords: deep learning; overfitting; modeling; breast cancer

🌟 Excited to share the Editor’s Choice Paper, Volume 9 Issue 10: Cervical Net: A Novel Cervical Cancer Classification Using Feature Fusion. 🥼 This paper is authored by Hiam Alquran, Mohammed Alsalatie, Wan Azani Mustafa, Rabah Al Abdi, and Ahmad Rasdan Ismail. 💡 This study proposes a computer-aided diagnosis for cervical cancer utilizing the novel Cervical Net deep learning (DL) structures and feature fusion with Shuffle Net structural features. Welcome to view this paper here👉 : https://lnkd.in/dTuxMfgt. #pap #smear #cervical_net #shuffle_net #canonical_correlation_analysis #CCA #support_vector_machine #SVM #random_forest #RF #k_nearest_neighbour #KNN #artificial_neural_network #ANN

I am excited to announce the publication of my latest research article in the IEEE journal: "Deep Learning CNNs for Breast Cancer Classification and Detection: Enhancing Diagnostic Accuracy in Medical Practice." This work represents a significant step forward in improving diagnostic accuracy for breast cancer through advanced deep learning techniques. I had the pleasure of working on this project with my friend and colleague, Ayoub. Feel free to read the full article https://lnkd.in/enewFecg and share your thoughts! #Research #DeepLearning #BreastCancer #MedicalAI #IEEE

Hey Fam!! Recently presented my research paper titled "Leveraging Convolutional Neural Networks and Multimodal Imaging Data for Accurate and Early Lung Cancer Screening" at the 6th International Conference on Inventive Computation and Information Technologies (ICICIT 2024) held during 16-17 April 2024 at Stamford International University,Bangkok, Thailand. The paper detailed the development and performance of a novel AI-powered tool for rapid and accurate lung cancer screening from CT scans. The work was well-received by the panel of leading oncologists and medical imaging experts in attendance.#LungCancer, #MedicalImaging, #ArtificialIntelligence #ConferencePresentation #Research

I'm writing a research paper in the field of medical imaging and neural networks titled: "An Optimization of B-Matching Graph Construction For Breast Cancer". The second slot is available to join me. If you are intetested let me know. #Medical_imaging #Convex_optimization #Breast_cancer #Graphs

Task 4: Breast Cancer Detection Prediction Hello everyone, I have completed a challenging project 4 assigned by InTernpe! This experience has deepened my understanding of AI /ML and developing the webpages. so I am greatful for the opportunity and applying these learnings in future endeavours. #InTernpe #AI/ML #Webdevelopment

I am thrilled to share that our poster article, entitled "Optimizing Breast Cancer Classification: A Comparative Analysis of Supervised and Unsupervised Machine Learning Techniques," has been published in the Proceedings MDPI. This work, in collaboration with Debolina Banerjee from Visva Bharati, Shantiniketan, represents a significant step forward in the application of machine learning to healthcare. Our research delves into various machine learning techniques to enhance the accuracy and efficiency of breast cancer classification, offering valuable insights and potential improvements in early detection and treatment strategies. Check out the publication here: https://lnkd.in/g5-ssJ69. #Research #MachineLearning #Healthcare #BreastCancer #AI #DataScience #Publication #Collaboration #Innovation

This is my first neural network project breast cancer classification using neural networks. The data set i used is breast cancer wiscontein dataset and the tools used in this project are: matplotlib seaborn pandas metrics tensorflow keras I predict whether the patient has bengin or malignant cancer desease #dataanalytics #ai #pythonprogramming #datascience

Happy to share that our latest article “Artificial Intelligence-Powered Mammography: Navigating the Landscape of Deep Learning for Breast Cancer Detection” has been published on cureus medical journal and will appear in PubMed Central within approximately six weeks. In this article, we explore how AI has the power to revolutionize breast cancer detection especially by using deep learning technology. Read the full article here: https://lnkd.in/etxhAuKr