What are the findings in generative adversarial network?5 answersGenerative adversarial networks (GANs) have been used in various domains such as images, facial synthesis, character generation, language processing, and multimedia. The strength of the learning ability of GANs for different types of images was investigated, and it was found that the simpler the image, the stronger the learning ability. GAN architectures were implemented for network traffic data generation, and these architectures demonstrated superior performance compared to the original GAN approach. A rapid construction method of GANs based on hidden layer characterization was proposed to solve the problem of dynamic instability in training GANs. Generative models, including GANs, have been used in computer vision and image classification tasks, such as video generation, music generation, image synthesis, and text-to-image conversion.
What are the top AI in pathology papers for prostate cancer?5 answersRecent advances in artificial intelligence (AI) applied to prostate cancer pathology have shown promise in improving risk stratification and treatment selection. Several papers have proposed AI-based models for the detection and classification of prostate cancer using deep learning techniques. Tolkach et al. developed a deep learning model for the detection and grading of prostate cancer based on a convolutional neural network, achieving high accuracy and performance. Dhrangadhariya et al. used natural language processing models to classify pathology reports of high and low-grade prostate cancer, demonstrating the feasibility of using paragraph embeddings for report classification. Another study proposed a self-supervised learning framework using a convolutional autoencoder for the grading of histopathological patches of prostate cancer, achieving promising results. Additionally, a weakly-supervised algorithm based on multiple instance learning and graph convolutional neural networks was proposed for the classification of prostate cancer grades, achieving state-of-the-art performance.
Can stimulated Raman scattering be used to analyze prostate cancer?5 answersStimulated Raman scattering (SERS) spectroscopy has shown promise in analyzing prostate cancer. SERS spectra of serum samples from prostate cancer patients and healthy volunteers were collected and analyzed using principal component analysis (PCA) combined with linear discriminant analysis (LDA). Raman spectroscopy-based techniques, including SERS, offer a reliable tool for cancer detection and have been used for biopsy analysis, assessment of surgical margins, and monitoring treatment efficacy in prostate cancer. A clinical trial using Raman spectroscopy and classification methods on fresh ex vivo biopsy cores showed high accuracy in diagnosing and grading prostate cancer. SERS spectroscopy has been investigated as a technique for detecting and quantifying prostate cancer biomarkers, providing noticeable enhancements in Raman sensitivity. SERS measurements of patient urine, combined with biostatistical algorithms, have been used to assess treatment response in prostate cancer patients. Overall, SERS spectroscopy shows potential for analyzing prostate cancer in various sample types.
Is there a relationship between heavy metal in rice and prostate cancer?5 answersThere is evidence of a relationship between heavy metals in rice and prostate cancer risk. Studies have shown that exposure to heavy metals such as arsenic (As) and zinc (Zn) is positively associated with prostate cancer risk. In a study conducted in Singapore, serum concentrations of As and Zn were found to be significantly and positively associated with prostate cancer risk. Another study in Iran found that the concentration of lead (Pb) in rice exceeded the national standard, which poses a potential carcinogenic risk to rice consumers. These findings suggest that the presence of heavy metals in rice, including As, Zn, and Pb, may contribute to an increased risk of prostate cancer. However, further research is needed to validate these findings and explore the mechanisms underlying this relationship.
Can you find literature on imaging of urothelial cancer and mimics?5 answersUrothelial carcinoma (UC) is a common tumor in Western countries, and computed tomography urography (CTU) is the preferred imaging modality for diagnosis and staging of upper tract urothelial carcinoma (UTUC). Imaging techniques play a crucial role in the early diagnosis and post-treatment follow-up of urothelial tumors, leading to improved treatment options and decreased morbidity and mortality. Narrowband imaging (NBI) cystoscopy is a promising optical method that enhances the detection of bladder tumors compared to conventional white-light imaging (WLI) cystoscopy. Infiltrative renal malignancies can have both benign and malignant entities in the differential diagnosis, and imaging features are important for treatment and prognostic implications. Renal lymphoma is often underestimated and underreported on conventional diagnostic imaging, but understanding its spectrum of appearances and recognizing overlapping entities can improve diagnostic accuracy.
Is focal laser ablation covered by insurance?10 answers