标题： ProjectedEx：增强可解释人工智能中前列腺癌的生成 显示英文标题

标题： ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

摘要： 前列腺癌是一种日益严重的全球健康问题，需要精确的诊断工具，磁共振成像（MRI）提供高分辨率的软组织成像，显著提高了诊断准确性。 可解释人工智能和表征学习的最新进展通过实现自动且精确的病灶分类，显著改善了前列腺癌的诊断。 然而，现有的可解释人工智能方法，特别是基于生成对抗网络（GANs）等框架的方法，主要针对自然图像生成开发，其在医学影像中的应用常常由于医学图像的独特特性和复杂性而导致性能不佳。 为了解决这些挑战，我们的论文提出了三个关键贡献。 首先，我们提出了ProjectedEx，一种生成框架，能够提供可解释的多属性解释，有效地将医学图像特征与分类器决策联系起来。 其次，我们通过引入特征金字塔增强了编码器模块，这使得多尺度反馈能够优化潜在空间并提高生成解释的质量。 此外，我们在生成器和分类器上进行了全面的实验，证明了ProjectedEx在增强可解释性和支持人工智能在医疗环境中采用方面的临床相关性和有效性。 代码将在 https://github.com/Richardqiyi/ProjectedEx 发布 显示英文摘要

摘要： Prostate cancer, a growing global health concern, necessitates precise diagnostic tools, with Magnetic Resonance Imaging (MRI) offering high-resolution soft tissue imaging that significantly enhances diagnostic accuracy. Recent advancements in explainable AI and representation learning have significantly improved prostate cancer diagnosis by enabling automated and precise lesion classification. However, existing explainable AI methods, particularly those based on frameworks like generative adversarial networks (GANs), are predominantly developed for natural image generation, and their application to medical imaging often leads to suboptimal performance due to the unique characteristics and complexity of medical image. To address these challenges, our paper introduces three key contributions. First, we propose ProjectedEx, a generative framework that provides interpretable, multi-attribute explanations, effectively linking medical image features to classifier decisions. Second, we enhance the encoder module by incorporating feature pyramids, which enables multiscale feedback to refine the latent space and improves the quality of generated explanations. Additionally, we conduct comprehensive experiments on both the generator and classifier, demonstrating the clinical relevance and effectiveness of ProjectedEx in enhancing interpretability and supporting the adoption of AI in medical settings. Code will be released at https://github.com/Richardqiyi/ProjectedEx